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ORCIDIJCNN 2006: Vancouver, BC, Canada
- Proceedings of the International Joint Conference on Neural Networks, IJCNN 2006, part of the IEEE World Congress on Computational Intelligence, WCCI 2006, Vancouver, BC, Canada, 16-21 July 2006. IEEE 2006, ISBN 0-7803-9490-9
Neural Hardware I
- Johannes Schemmel, Andreas Grübl, Karlheinz Meier, Eilif Mueller:
Implementing Synaptic Plasticity in a VLSI Spiking Neural Network Model. 1-6 - Eric K. C. Tsang, Bertram Emil Shi
:
Active Binocular Gaze Control Inspired by Superior Colliculus. 7-14 - Ocean Y. H. Cheung, Philip Heng Wai Leong, Eric K. C. Tsang, Bertram Emil Shi:
A Scalable FPGA Implementation of Cellular Neural Networks for Gabor-type Filtering. 15-20 - Johannes Fieres, Johannes Schemmel, Karlheinz Meier:
Training convolutional networks of threshold neurons suited for low-power hardware implementation. 21-28 - Liang Zhang, Joaquin Sitte:
Local Cluster Neural Network On-chip Training. 29-34 - Ming Z. Zhang, Ming-Jung Seow, Vijayan K. Asari:
A Hardware Architecture for Color Image Enhancement Using a Machine Learning Approach with Adaptive Parameterization. 35-40
Reinforcement Learning Theory I
- Jelmer van Ast, Robert Babuska:
Dynamic Exploration in Q(lambda)-learning. 41-46 - Xiaolong Ma, Konstantin Likharev:
Global Reinforcement Learning in Neural Networks with Stochastic Synapses. 47-53 - Johane Takeuchi, Osamu Shouno, Hiroshi Tsujino:
Connectionist Reinforcement Learning with Cursory Intrinsic Motivations and Linear Dependencies to Multiple Representations. 54-61 - Thaddeus T. Shannon:
Qualitative Adaptive Critics. 62-67 - Ju Jiang, Mohamed S. Kamel:
Aggregation of Reinforcement Learning Algorithms. 68-72 - Jan Peters, Stefan Schaal:
Reinforcement Learning for Parameterized Motor Primitives. 73-80
Neuroinformatics
- Vicenç Gómez, Andreas Kaltenbrunner, Vicente López:
Event modeling of message interchange in stochastic neural ensembles. 81-88 - Fernando Buarque de Lima Neto, Philippe De Wilde:
Venn-like models of neo-cortex patches. 89-96 - Antony Browne:
Using Neural Networks with Automatic Relevance Determination to Identify Regions of the Thalamus Implicated in Schizophrenia. 97-101 - Marc de Kamps:
An analytic solution of the reentrant Poisson master equation and its application in the simulation of large groups of spiking neurons. 102-109 - Thierry Viéville, Pierre Kornprobst:
Modeling Cortical Maps with Feed-Backs. 110-117 - Andreas Herzog, Karsten Kube, Bernd Michaelis, Ana D. de Lima, Thomas B. Voigt:
Simulation of young neocortical networks by spatially coupled oscillators. 118-122
Learning in Kernel Methods
- Kaan Ataman, W. Nick Street, Yi Zhang:
Learning to Rank by Maximizing AUC with Linear Programming. 123-129 - Olutayo O. Oladunni, Theodore B. Trafalis:
A Pairwise Reduced Kernel-based Multi-classification Tikhonov Regularization Machine. 130-137 - Carlos Alzate, Johan A. K. Suykens:
A Weighted Kernel PCA Formulation with Out-of-Sample Extensions for Spectral Clustering Methods. 138-144 - Roland Vollgraf, Klaus Obermayer:
Sparse Optimization for Second Order Kernel Methods. 145-152 - Ichiro Takeuchi, Kaname Nomura, Takafumi Kanamori:
The Entire Solution Path of Kernel-based Nonparametric Conditional Quantile Estimator. 153-158 - Ping Sun, Xin Yao:
Greedy forward selection algorithms to Sparse Gaussian Process Regression. 159-165
Neural Modeling of Emotion
- Jia-Jun Wong, Siu-Yeung Cho:
Recognizing Human Emotion from Partial Facial Features. 166-173 - Nickolaos F. Fragopanagos, Nienke J. H. Korsten, John G. Taylor:
A neural model of the enhancement of perception caused by emotional cues. 174-180 - Bing Lu, Walter M. Yamada, Theodore W. Berger:
Nonlinear Queuing Model for Dynamic Synapse with Multiple Transmitter Pools. 181-187 - Steven L. Bressler, Craig G. Richter, Yonghong Chen, Mingzhou Ding:
Top-Down Cortical Influences in Visual Expectation. 188-194 - Daniel S. Levine:
Emotion and Decision Making: Short-term Reactions versus Long-term Evaluations. 195-202
Complex-Valued Neural Networks I
- Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima:
A Study on Learning with a Quantum Neural Network. 203-206 - Gerasimos G. Rigatos:
Energy spectrum of quantum associative memories. 207-212 - Yasuaki Kuroe, Yuriko Taniguchi:
Models of Self-Correlation Type Complex-Valued Associative Memories and Their Performance Comparison. 213-217 - Teijiro Isokawa, Haruhiko Nishimura, Naotake Kamiura, Nobuyuki Matsui:
Fundamental Properties of Quaternionic Hopfield Neural Network. 218-223 - Katsuhiro Mori, Teijiro Isokawa, Noriaki Kouda, Nobuyuki Matsui, Haruhiko Nishimura:
Qubit Inspired Neural Network towards Its Practical Applications. 224-229 - George M. Georgiou:
Exact Interpolation and Learning in Quadratic Neural Networks. 230-234
Reinforcement Learning Theory II
- Nancy Fulda, Dan Ventura:
Learning a Rendezvous Task with Dynamic Joint Action Perception. 235-240 - Mohammad G. Azar, Majid Nili Ahmadabadi, Amir Massoud Farahmand, Babak Nadjar Araabi:
Learning to Coordinate Behaviors in Soft Behavior-Based Systems Using Reinforcement Learning. 241-248 - Krishna P. Miyapuram, Raju S. Bapi, Chandrasekhar V. S. Pammi, Ahmed, Kenji Doya:
Hierarchical Chunking during Learning of Visuomotor Sequences. 249-253 - Maryam Shokri, Hamid R. Tizhoosh, Mohamed Kamel:
Opposition-Based Q(lambda) Algorithm. 254-261 - Myriam Abramson, William Chao, Ranjeev Mittu:
Training Coordination Proxy Agents. 262-269 - Nicolas Brodu:
Learning using Dynamical Regime Identification and Synchronization. 270-276
Neuroscience & Computational Neuroscience I
- Abraham K. Ishihara, Johan van Doornik, Terence D. Sanger:
Failure Modes in Feedback Error Learning. 277-284 - Karina Odinaev, Igal Raichelgauz, Yehoshua Y. Zeevi:
Cliques in Neural Ensembles as Perception Carriers. 285-292 - Atsuo Suemitsu, Masahiko Morita:
Neural Network Model of Context-Dependent Neuronal Activity in Inferotemporal Cortex. 293-298 - Alan Rosen, David B. Rosen:
A Neural Network Model of the Connectivity of the Biological Somatic Sensors. 299-306 - Rolf Eckmiller, Oliver Baruth, Dirk Neumann:
On Human Factors for Interactive Man-Machine Vision: Requirements of the Neural Visual System to transform Objects into Percepts. 307-311 - Lennart Gustafsson, Andrew P. Paplinski:
Bimodal Integration of Phonemes and Letters: an Application of Multimodal Self-Organizing Networks. 312-318
Support Vector Machines & Kernel Methods I
- Masayuki Karasuyama, Daisuke Kitakoshi, Ryohei Nakano:
Revised Optimizer of SVR Hyperparameters Minimizing Cross-Validation Error. 319-326 - Tao Ban, Shigeo Abe:
Implementing Multi-class Classifiers by One-class Classification Methods. 327-332 - Daniel T. H. Lai, Nallasamy Mani, Marimuthu Palaniswami:
An inexact penalty method for the semiparametric Support Vector Machine classifier. 333-338 - Leonardo V. Ferreira, Eugenius Kaszkurewicz, Amit Bhaya:
Parallel Implementation of Gradient-Based Neural Networks for SVM Training. 339-346 - Stefan Lessmann, Sven F. Crone, Robert Stahlbock:
An Evaluation of Discrete Support Vector Machines for Cost-Sensitive Learning. 347-354 - Jun Guo, Norikazu Takahashi, Tetsuo Nishi:
Convergence Proof of a Sequential Minimal Optimization Algorithm for Support Vector Regression. 355-362
Neurodynamics of Higher-Level Cognitive Behavior I
- J. A. Scott Kelso, Emmanuelle Tognoli:
Metastability in the brain. 363-368 - Walter J. Freeman, Giuseppe Vitiello:
Exploration of relations between many-body field theory and the nonlinear brain dynamics that underlies cognitive behavior. 369-376 - Leonid I. Perlovsky:
Neural Dynamic Logic of Consciousness: the Knowledge Instinct. 377-383 - Steven L. Bressler, Craig G. Richter, Yonghong Chen, Mingzhou Ding:
Top-Down Cortical Influences in Visual Expectation. 384-390
Biometrics: Algorithms, Architectures & Applications I
- Yuheng Zhang, Qinghan Xiao:
An Optimized Approach for Fingerprint Binarization. 391-395 - Deepak Mishra, Abhishek Yadav, Ashutosh Dwivedi, Prem Kumar Kalra:
A Neural Network Using Single Multiplicative Spiking Neuron for Function Approximation and Classification. 396-403 - Wen-Chang Cheng:
Neural-Network-Based Photometric Stereo for 3D Surface Reconstruction. 404-410
Towards Human-Level Intelligence
- James A. Anderson, Paul Allopenna:
The Ersatz Brain Project: Neural Inspiration, Cognitive Application. 411-418 - Robert Hecht-Nielsen:
The Mechanism of Thought. 419-426 - L. Andrew Coward:
Constraints on the Design Process for Systems with Human Level Intelligence. 427-434 - Wlodzislaw Duch:
Computational Creativity. 435-442 - Alexei V. Samsonovich, Giorgio A. Ascoli, Kenneth A. De Jong:
Computational Assessment of the 'Magic' of Human Cognition. 443-450 - Ben Goertzel:
Patterns, Hypergraphs and Embodied General Intelligence. 451-458
Complex-Valued Neural Networks II
- Ikuko Nishikawa, Takeshi Iritani, Kazutoshi Sakakibara:
Improvements of the Traffic Signal Control by Complex-Valued Hopfield Networks. 459-464 - Zhe Chen, Jinwen Ma:
Contrast Functions for Non-circular and Circular Sources Separation in Complex-Valued ICA. 465-472 - Igor N. Aizenberg, Dmitriy Paliy, Jaakko Astola:
Multilayer Neural Network based on Multi-Valued Neurons and the Blur Identification Problem. 473-480 - Andriyan Bayu Suksmono, Astri Handayani, Akira Hirose:
Snake in Phase Domain: A Method for Boundary Detection of Objects in Phase Images. 481-485 - Howard E. Michel, Abdul Ahad S. Awwal, David Rancour:
Artificial Neural Networks Using Complex Numbers and Phase Encoded Weights - Electronic and Optical Implementations. 486-491 - Akira Hirose, Tomoaki Higo, Ken Tanizawa:
Holographic Three-Dimensional Movie Generation with Frame Interpolation Using Coherent Neural Networks. 492-497
Reinforcement Learning Applications
- Eric A. Antonelo, Albert-Jan Baerveldt, Thorsteinn S. Rögnvaldsson, Maurício F. Figueiredo:
Modular Neural Network and Classical Reinforcement Learning for Autonomous Robot Navigation: Inhibiting Undesirable Behaviors. 498-505 - Roman Ilin, Robert Kozma, Paul J. Werbos:
Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP. 506-510 - Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama:
A Reinforcement Learning Framework for Medical Image Segmentation. 511-517 - Hossein Javaherian, Derong Liu, Olesia Kovalenko:
Automotive Engine Torque and Air-Fuel Ratio Control Using Dual Heuristic Dynamic Programming. 518-525 - Jan Eriksson, Alessandro E. P. Villa:
Artificial Neural Networks simulation of learning of auditory equivalence classes for vowels. 526-533 - Jian Li, Laiwan Chan:
Reward Adjustment Reinforcement Learning for Risk-averse Asset Allocation. 534-541
Neuroscience & Computational Neuroscience II
- Huaien Luo, Sadasivan Puthusserypady:
NARX Neural Networks for Dynamical Modelling of fMRI Data. 542-546 - Nathan A. Dunn, Jonathan T. Pierce-Shimomura, John S. Conery, Shawn R. Lockery:
Clustered Neural Dynamics Identify Motifs for Chemotaxis in Caenorhabditis elegans. 547-554 - Hiroyuki Kambara, Kyoungsik Kim, Duk Shin, Makoto Sato:
Motor Control-Learning Model for Reaching Movements. 555-562 - Thierry Viéville:
About biologically plausible trajectory generators. 563-572 - Ben Torben-Nielsen, Karl Tuyls, Eric O. Postma:
Shaping Realistic Neuronal Morphologies: An Evolutionary Computation Method. 573-580 - Il Park, Dongming Xu, Thomas B. DeMarse, José C. Príncipe:
Modeling of Synchronized Burst in Dissociated Cortical Tissue: An Exploration of Parameter Space. 581-586
Support Vector Machines & Kernel Methods II
- Boyang Li, Jinglu Hu, Kotaro Hirasawa, Pu Sun, Kenneth A. Marko:
Support Vector Machine with Fuzzy Decision-Making for Real-world Data Classification. 587-592 - Jayadeva, Reshma Khemchandani, Suresh Chandra:
Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting. 593-598 - Jiyoung Sun, Sungzoon Cho:
Pattern Selection for Support Vector Regression based on Sparseness and Variability. 599-602 - Shian-Chang Huang, Tung-Kuang Wu:
Wavelet-Based Relevance Vector Machines for Stock Index Forecasting. 603-609 - Matthew Boardman, Thomas Trappenberg:
A Heuristic for Free Parameter Optimization with Support Vector Machines. 610-617 - Andrea Boni, Alessandro Zorat:
FPGA Implementation of Support Vector Machines with Pseudo-Logarithmic Number Representation. 618-624
Neurodynamics of Higher-Level Cognitive Behavior II
- Daniel S. Levine:
Modeling the Evolution of Decision Rules in the Human Brain. 625-631 - Robert Kozma:
Influence of Criticality on 1/falphaSpectral Characteristics of Cortical Neuron Populations. 632-637 - Colin Molter, Utku Salihoglu, Hugues Bersini:
How to prevent spurious data in a chaotic brain. 638-644 - Emílio Del Moral Hernandez:
Fragmented Basins of Attraction of Recursive Processing Elements in Associative Neural Networks and its Impact on Pattern Recovery Performance. 645-652 - Jin Zhang, Guang Li, Walter J. Freeman:
Application of Novel Chaotic Neural Networks to Mandarin Digital Speech Recognition. 653-658 - José Luis Rosselló, Sebastià A. Bota, Vicent Canals, Ivan de Paúl, Jaume Segura:
A Fully CMOS Low-Cost Chaotic Neural Network. 659-663
Biometrics: Algorithms, Architectures & Applications II
- S. Nalin Pradeep, Mayur D. Jain, C. Prakash, Raman Balasubramanian:
Palmprint Recognition: Two level Structure Matching. 664-669 - Robert Paquet, Abbas Z. Kouzani:
Advances in 3D-Based Face Recognition. 670-675 - Svetlana N. Yanushkevich:
Synthetic Biometrics: A Survey. 676-683 - Stephane Armand, Michael Blumenstein, Vallipuram Muthukkumarasamy:
Off-line Signature Verification using the Enhanced Modified Direction Feature and Neural-based Classification. 684-691 - Youngchan Han, Jungwoo Nam, Nohjun Park, Hakil Kim:
Resolution and Distortion Compensation based on Sensor Evaluation for Interoperable Fingerprint Recognition. 692-698 - Mosaab Daoud, Stefan C. Kremer:
Neural and Statistical Classification to Families of Bio-sequences. 699-704
Fuzzy Neural Networks
- Richard Jayadi Oentaryo, Michel Pasquier:
GENSOFNN-YAGER: A Novel Hippocampus-like Learning Memory System Realizing Yager Inference. 705-712 - Dipti Srinivasan, Saptak Sanyal, Woei Wan Tan:
Hybrid Neuro-Fuzzy Technique for Automated Traffic Incident Detection. 713-719 - Mingyu Zhong, Bryan Rosander, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie:
Experiments with Safe ARTMAP and Comparisons to Other ART Networks. 720-727 - Shuangwen Sheng, Robert X. Gao:
Optimization of ANFIS with Applications in Machine Defect Severity Classification. 728-734 - Chin-Ming Hong, Chih-Ming Chen, Shyuan-Yi Chen, Chao-Yen Huang:
A Novel and Efficient Neuro-Fuzzy Classifier for Medical Diagnosis. 735-741 - Kai Keng Ang, Chai Quek:
Rough set-based neuro-fuzzy system. 742-749
Posters
- Seiji Miyoshi, Masato Okada:
Statistical Mechanics of Online Learning for Ensemble Teachers. 750-755 - Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa:
Training Radial Basis Functions by Gradient Descent. 756-762 - Sana'a W. Al-Sayegh:
Hybrid Neural Network. 763-770 - Yingfeng Wang, Xiaoqin Zeng:
Using a Sensitivity Measure to Improve Training Accuracy and Convergence for Madalines. 771-777 - Vincenzo Di Massa, Gabriele Monfardini, Lorenzo Sarti, Franco Scarselli, Marco Maggini, Marco Gori:
A Comparison between Recursive Neural Networks and Graph Neural Networks. 778-785 - Jing Li, Bao-Liang Lu:
A New Supervised Clustering Algorithm Based on Min-Max Modular Network with Gaussian-Zero-Crossing Functions. 786-793 - Wieslaw Sienko, Dariusz Zamojski:
Hamiltonian Neural Networks Based Classifiers and Mappings. 794-798 - Ming Dong, Jing Wu:
Localized Support Vector Machines for Classification. 799-805 - Hazem M. El-Bakry, Qiangfu Zhao:
Fast Neural Implementation of PCA for Face Detection. 806-811 - Chee Wee Phua, Alan Blair:
An Improved Minibrain That Learns Through Both Positive and Negative Feedback. 812-819 - Seungtaek Kim, Sungzoon Cho:
Prototype based outlier detection. 820-826 - Jianchuan Yin, Fang Dong, Nini Wang:
A Novel Sequential Learning Algorithm for RBF Networks and Its Application to Dynamic System Identification. 827-834 - Salvatore Calcagno, Antonino Greco, Francesco Carlo Morabito, Mario Versaci:
A Comparison between Soft Computing and Statistic Approaches to Identify Plasma Columns in Tokamak Reactors. 835-842 - Juha Karhunen, Tomas Ukkonen:
Generalizing Independent Component Analysis for Two Related Data Sets. 843-850 - Erika Coppola, Barbara Tomassetti, Marco Verdecchia, Frank S. Marzano, Guido Visconti:
Small-catchment flood forecasting and drainage network extraction using computational intelligence. 851-858 - Seyed Mohammad Sadeghzadeh, Meghdad Ansarian:
Neuro-Fuzzy Control of SSSC and SMES for Transient Stability Improvement of Power System Transmission Lines. 859-863 - Huilan Jiang, Tangsheng Liu, Mengbin Wang:
Direct Estimation of Fault Tolerance of Feed Forward Neural Networks in Pattern Recognition. 864-869 - Jianghua Bao, Paul W. Munro:
Structural Mapping with Identical Elements Neural Network. 870-874 - Narri Yadaiah, Lakshman Singh, Raju S. Bapi, V. Seshagiri Rao, Bulusu Lakshmana Deekshatulu, Atul Negi:
MultisensorData Fusion Using Neural Networks. 875-881 - Ahmad Banakar, Mohammad Fazle Azeem:
Generalized Wavelet Neural Network Model and its Application in Time Series Prediction. 882-886 - Ana M. González, José R. Dorronsoro:
A Note on Conjugate Natural Gradient Training of Multilayer Perceptrons. 887-891 - Giuseppe Acciani, Gioacchino Brunetti, Ernesto Chiarantoni, Girolamo Fornarelli:
Automatic Evaluation of Flaws in Pipes by means of Ultrasonic Waveforms and Neural Networks. 892-898 - Robert X. Gao, Changting Wang, Ruqiang Yan, Arnaz Malhi:
A Neural Network Approach to Bearing Health Assessment. 899-906 - Justin Bray, Brijesh K. Verma, Xue Li, Wade He:
A Neural Network based Technique for Automatic Classification of Road Cracks. 907-912 - Rozaida Ghazali, Abir Jaafar Hussain, Wael El-Deredy:
Application of Ridge Polynomial Neural Networks to Financial Time Series Prediction. 913-920 - Sai-Ho Ling, Frank H. F. Leung, Hak-Keung Lam:
A Variable Node-to-Node-Link Neural Network and Its Application to Hand-Written Recognition. 921-928 - Tiago V. Barra, George Barreto Bezerra, Leandro Nunes de Castro, Fernando J. Von Zuben:
An Immunological Density-Preserving Approach to the Synthesis of RBF Neural Networks for classification. 929-935 - Cuimei Bo, Zhiquan Wang, Jinguo Lin, Shi Zhang, Guangming Zhang:
The Online Models based Fault Tolerant Control for Multiple Sensor Fault of Multi-variable Nonlinear Processes. 936-943 - Elham Bavafa, Mohammad Javad Yazdanpanah:
Image Compression using an Enhanced Self Organizing Map Algorithm with Vigilance Parameter. 944-949 - Haruna Matsushita, Yoshifumi Nishio:
Tentacled Self-Organizing Map for Effective Data Extraction. 950-957 - John Hammond, Daniel MacLean, Iren Valova:
A Parallel Implementation of a Growing SOM Promoting Independent Neural Networks over Distributed Input Space. 958-965 - Simon O'Keefe:
SOM-Based Sparse Binary Encoding for AURA Classifier. 966-972 - Cihan Oguz, Martha A. Gallivan:
Identification of a Dynamic Model for a Thin Film Deposition Process using a Self-Organizing Map. 973-980 - Yangsheng Chen, Gangfeng Yan:
Multi-Sensors Data Tracking Fusion Based on a Neural Network Filter. 981-984 - Hsin-Chang Yang, Chung-Hong Lee:
NaviSOM: Automatic Construction of Navigational Structure for Web Pages using Self-organizing Maps. 985-992 - Gilles Hermann, Patrice Wira, Jean-Philippe Urban:
Bi-directional Modularity to Learn Visual Servoing Tasks. 993-1000 - Hikaru Mogami, Masahiko Otake, Naoki Kouno, Yuko Osana:
Self-Organizing Map with Refractoriness and Its Application to Image Retrieval. 1001-1006 - Hamed Shah-Hosseini:
The Time Adaptive Self-Organizing Map is a Neural Network Based on Artificial Immune System. 1007-1014 - Zhigang Zeng, Jun Wang:
Synthesis of Bipolar Associative Memories Based on Cellular Neural Networks with Two-dimensional Space-invariant Templates. 1015-1020 - Ivo Petrás:
A Note on the Fractional-Order Cellular Neural Networks. 1021-1024 - Anke Meyer-Bäse, Vera Thümmler, Fabian J. Theis:
Stability Analysis of an Unsupervised Competitive Neural Network. 1025-1028 - Anke Meyer-Bäse, Rodney G. Roberts, S. Joshi:
Robust Stability Analysis of a Class of Noise Perturbed Two-Time Scale Neural Networks. 1029-1032 - Dong-Shong Liang, Yaw-Hwang Chen, Chun-Min Wen, Chun-Da Tu, Kwang-Jow Gan, Cher-Shiung Tsai:
The Design of MOS-NDR-Based Cellular Neural Network. 1033-1035 - Xiaodong Gu:
A New Approach to Image Authentication using Local Image Icon of Unit-linking PCNN. 1036-1041 - Narri Yadaiah, G. Sowmya:
Neural Network Based State Estimation of Dynamical Systems. 1042-1049 - David Verstraeten, Benjamin Schrauwen, Dirk Stroobandt:
Reservoir-based techniques for speech recognition. 1050-1053 - ZhiHang Chen, Chengwen Ni, Yi Lu Murphey:
Neural Network Approaches for Text Document Categorization. 1054-1060 - Mohammad Fazle Azeem, Ahmad Banakar, Vinod Kumar:
Comparative Study of Different Types of Wavelet Functions in Neural Network. 1061-1066 - Rigui Zhou, Hongyuan Zheng, Nan Jiang, Qiulin Ding:
Self-Organizing Quantum Neural Network. 1067-1072 - Pei Ling Lai, Gayle Leen, Colin Fyfe:
A Comparison of Stochastic Processes and Artificial Neural Networks for Canonical Correlation Analysis. 1073-1077 - Tuan A. Duong, Deling Liu, Isik Kanik:
Neural Network Prediction of Reduced Ion Mobility of Chemical Compound Based on Molecular Structure. 1078-1084 - Kuo-Chen Li, Dar-Jen Chang, Yuan Yan Chen:
High-speed Bi-directional Function Approximation using Plausible Neural Networks. 1085-1090 - Lech Marian Grzesiak, Bartlomiej Ufnalski:
Neural-Network-based Programmable State Feedback Controller for Induction Motor Drive. 1091-1097 - Piotr Ciskowski:
Efficient Modeling of Contextual Mappings by Context-dependent Feedforward and Recurrent Neural Nets. 1098-1105 - Dixin Guo, Jimin Chen, Yuhong Cheng:
Laser Cutting Parameters Optimization Based on Artificial Neural Network. 1106-1111 - Almila Bahar, Evren Giiner, Canan Özgen, Ugur Halici:
Design of State Estimators for the Inferential Control of an Industrial Distillation Column. 1112-1115 - Sandeep Chandana, René V. Mayorga:
Rough Set Theory based Neural Network Architecture. 1116-1122 - Kazushi Ikeda:
On Geometric Structure of Quasi-Additive Learning Algorithms. 1123-1127 - Pablo Zegers, Jose G. Johnson:
Consistent Density Function Estimation with Multilayer Perceptrons. 1128-1135 - Yonghong Huang, Deniz Erdogmus, Santosh Mathan, Misha Pavel:
Comparison of Linear and Nonlinear Approaches on Single Trial ERP Detection in Rapid Serial Visual Presentation Tasks. 1136-1142 - Pei Ling Lai, Colin Fyfe:
A Latent Variable Implementation of Canonical Correlation Analysis for Data Visualisation. 1143-1149 - Chih-Cheng Yang, Wan-Jui Lee, Shie-Jue Lee:
Learning of Kernel Functions in Support Vector Machines. 1150-1155 - Hirotaka Nakayama, Yeboon Yun:
Support Vector Regression Based on Goal Programming and Multi-objective Programming. 1156-1161 - Rameswar Debnath, Haruhisa Takahashi:
SVM Training: Second-Order Cone Programming versus Quadratic Programming. 1162-1168 - Ivor W. Tsang, James T. Kwok, Shutao Li:
Learning the Kernel in Mahalanobis One-Class Support Vector Machines. 1169-1175 - Satarupa Banerjee, Lillian N. Cassel:
Web Host Access Tool: A Support Vector Machine Approach. 1176-1183 - Kien-Ping Chung, Kok Wai Wong, Chun Che Fung:
Reducing User Log size in an Inter-Query Learning Content Based Image Retrieval (CBIR) System with a Cluster Merging approach. 1184-1191 - Jayadeva, Reshma Khemchandani, Suresh Chandra:
Regularized Least Squares Twin SVR for the Simultaneous Learning of a Function and its Derivative. 1192-1197 - Steven Van Vaerenbergh, Javier Vía, Ignacio Santamaría:
Online Kernel Canonical Correlation Analysis for Supervised Equalization of Wiener Systems. 1198-1204 - Kuo-Ping Wu, Sheng-De Wang:
Choosing the Kernel parameters of Support Vector Machines According to the Inter-cluster Distance. 1205-1211 - Takashi Onoda, Hiroshi Murata, Seiji Yamada:
Non-Relevance Feedback Document Retrieval based on One Class SVM and SVDD. 1212-1219 - Ben Goertzel, James Venuto:
Accurate SVM Text Classification for Highly Skewed Data Using Threshold Tuning and Query-Expansion-Based Feature Selection. 1220-1225 - Deborah Duong, James Venuto, Ben Goertzel, Ryan Richardson, Shawn A. Bohner, Edward A. Fox:
Support Vector Machines to Weight Voters in a Voting System of Entity Extractors. 1226-1230 - Bai Yifeng, Xiao Jian, Yu Long:
Kernel Partial Least-Squares Regression. 1231-1238 - Iryna Nischenko, Elsa M. Jordaan:
Confidence of SVM Predictions using a Strangeness Measure. 1239-1246 - Bao Rong Chang, Hsiu Fen Tsai:
Financial Prediction Applications Using Quantum-Minimized Composite Model ASVR/NGARCH. 1247-1253 - Sunho Park, Seungjin Choi:
Rao-Blackwellized Particle Filtering for Sequential Speech Enhancement. 1254-1259 - Ulf Johansson, Tuve Löfström, Rikard König, Lars Niklasson:
Building Neural Network Ensembles using Genetic Programming. 1260-1265 - Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez:
Pruning in Ordered Regression Bagging Ensembles. 1266-1273 - Marcin Korytkowski, Leszek Rutkowski, Rafal Scherer:
On Combining Backpropagation with Boosting. 1274-1277 - Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
Designing a Multilayer Feedforward Ensembles with Cross Validated Boosting Algorithm. 1278-1283 - Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
Designing a New Multilayer Feedforward Modular Network for Classification Problems. 1284-1289 - Pavel Kordík, Jan Saidl, Miroslav Snorek:
Evolutionary Search for Interesting Behavior of Neural Network Ensembles. 1290-1293 - Dingding Chen, John Quirein, Harry Smith, Syed Hamid, Jeff Grable, S. Reed:
Variable Input Neural Network Ensembles in Generating Synthetic Well Logs. 1294-1301 - Kin Keung Lai, Lean Yu, Shouyang Wang, Wei Huang:
Neural-Network-based Metalearning for Distributed Text Information Retrieval. 1302-1309 - Rodrigo G. F. Soares, Alixandre Santana, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto:
Using Accuracy and Diversity to Select Classifiers to Build Ensembles. 1310-1316 - Hazem M. El-Bakry:
A Simple Design for High Speed Normalized Neural Networks Implemented in the Frequency Domain for Pattern Detection. 1317-1324 - Hazem M. El-Bakry:
Fast Co-operative Modular Neural Processors for Human Face Detection. 1325-1332 - Gao Daqi, Li Jie:
Kernel Fisher Discriminants and Kernel Nearest Neighbor Classifiers: A Comparative Study for Large-Scale Learning Problems. 1333-1338 - Jahangheer S. Shaik, Mohammed Yeasin:
Visualization of High Dimensional Data using an Automated 3D Star Co-ordinate System. 1339-1346 - Jiayan Jiang, Liming Zhang:
Extending Manifold Leaning Algorithms by Neural Networks. 1347-1353 - Yuexian Hou, Jingyi Wu, Pilian He:
Improving classification precision by implicit kernels motivated by manifold learning. 1354-1359 - Qingzhong Liu, Andrew H. Sung:
Recursive Feature Addition for Gene Selection. 1360-1367 - Ashok Patel, Bart Kosko:
Mutual-Information Noise Benefits in Brownian Models of Continuous and Spiking Neurons. 1368-1375 - Akaysha C. Tang, Matthew T. Sutherland, Christopher J. McKinney, Jingyu Liu, Yan Wang, Lucas C. Parra, Adam D. Gerson, Paul Sajda:
Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing. 1376-1383 - Vahid Taimouri, Gholam-Ali Hossein-Zadeh, Hamid Soltanian-Zadeh:
Spatially Adaptive Kernels for Adaptive Spatial Filtering of fMRI Data. 1384-1388 - Mohammad Soleymani, Gholam-Ali Hossein-Zadeh, Hamid Soltanian-Zadeh:
Fixed and Random Effect Analysis of Multi-subject Spatial Activation Maps in Wavelet Domain. 1389-1392 - Narendra S. Chaudhari, Nirmal Dagdee, Meng Joo Er:
Hard-limiter Neuron based Turing Machine Simulation with Constant Time Read/Write Operation. 1393-1397 - Jong-Pil Lee, Dae Jong Lee, Pyeong-Shik Ji, Jae-Yoon Lim, Sung-Soo Kim:
Diagnosis of Power Transformer using Fuzzy Clustering and Radial Basis Function Neural Network. 1398-1404 - Hong-Dar Lin, Chih-Hao Chien:
Automated Detection of Color Non-Uniformity Defects in TFT-LCD. 1405-1412 - Seung-Hyun Lee, Jaekyoung Moon, Minho Lee:
A Region of Interest Based Image Segmentation Method using a Biologically Motivated Selective Attention Model. 1413-1420 - Satoshi Matsuda:
A Neural Network Model for the Decision-Making Process Based on ANP. 1421-1426 - Abel Nyamapfene, Khurshid Ahmad:
Unsupervised Multi-net Simulation: An Application to Child Development. 1427-1433 - Yuta Ishikawa, Ryohei Nakano:
Landscape of a Likelihood Surface for a Gaussian Mixture and its use for the EM Algorithm. 1434-1440 - Yuta Wada, Ken-ichi Tokunaga:
Estimation of stochastic representation of via-points in human motion control by reinforcement learning. 1441-1446 - Robert G. Escalante, Heidar A. Malki:
Comparison of Artificial Neural Network Architectures and Training Algorithms for Solving the Knight's Tours. 1447-1450 - Rong-Jong Wai, Jeng-Dao Lee, Chia-Chin Chu:
Intelligent Decoupled Control for Linear Induction Motor Drive. 1451-1457 - Zhenfu Bi, Fusheng Wang, Congcong Liu:
Getting parameters in power systems based on adaptive linear neural network. 1458-1462 - Lichen Liang, Vladimir Cherkassky, David A. Rottenberg:
Spatial SVM for feature selection and fMRI activation detection. 1463-1469 - Khalid Benabdeslem:
Descendant hierarchical support vector machine for multi-class problems. 1470-1475 - Yoshitsugu Kakemoto, Shinichi Nakasuka:
The Learning and Dynamics of VSF-Network. 1476-1482
Neural Hardware II
- Yan Meng:
A Mobile Vision System with Reconfigurable Intelligent Agents. 1483-1488 - Hiroomi Hikawa:
Vector Quantization System Based on Scalar SOM/AND-OR Hybrid Network. 1489-1496 - Alejandro Linares-Barranco, Rafael Paz-Vicente, Gabriel Jiménez, Juan L. Pedreño-Molina, Javier Molina-Vilaplana, Juan López Coronado:
AER Neuro-Inspired interface to Anthropomorphic Robotic Hand. 1497-1504 - Katsutoshi Saeki, Yugo Hayashi, Yoshifumi Sekine:
Extraction of Phase Information Buried in Fluctuation of a Pulse-type Hardware Neuron Model Using STDP. 1505-1510 - Yajie Chen, Steve Hall, Liam McDaid, Octavian Buiu, Peter M. Kelly:
On the Design of a Low Power Compact Spiking Neuron Cell Based on Charge-Coupled Synapses. 1511-1517 - Puxuan Dong, Griff L. Bilbro, Mo-Yuen Chow:
Implementation of Artificial Neural Network for Real Time Applications Using Field Programmable Analog Arrays. 1518-1524
Supervised Learning I
- César Hervás-Martínez, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez:
Classification by means of Evolutionary Product-Unit Neural Networks. 1525-1532 - Pablo Zegers, Jose G. Johnson:
Exponential Transitions: Telltale Sign of Consistency in Learning Systems. 1533-1539 - Haruhiko Takase, Hidehiko Kita, Terumine Hayashi:
Fault tolerant training algorithm for multi-layer neural networks focused on hidden unit activities. 1540-1545 - Chang Liu, Jing Hua, Lixin Wang, Ruwei Dai:
An Integrative Neural Network with Feedback Control for Classification. 1546-1553 - Dario Albesano, Roberto Gemello, Pietro Laface, Franco Mana, Stefano Scanzio:
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting. 1554-1561 - Mark J. Brudnak:
Vector-Valued Support Vector Regression. 1562-1569
Modeling the Evolution & Acquisition of Language
- Leonid I. Perlovsky:
Integrated Emotions, Cognition, and Language. 1570-1575 - Angelo Cangelosi, Emmanouil Hourdakis, Vadim Tikhanoff:
Language Acquisition and Symbol Grounding Transfer with Neural Networks and Cognitive Robots. 1576-1582 - José Fernando Fontanari, Leonid I. Perlovsky:
Meaning creation and communication in a community of agents. 1583-1588 - Anastasios-Antonios Toulkeridis, Vassilios Petridis:
From Signaling to Word-Combination, a Layered Approach. 1589-1595 - Francis C. K. Wong, James W. Minett, William S.-Y. Wang:
Reassessing Combinatorial Productivity Exhibited by Simple Recurrent Networks in Language Acquisition. 1596-1603 - Nancy Chang, Eva Mok:
A Structured Context Model for Grammar Learning. 1604-1611
Applications of Support Vector Machines & Kernel Methods
- Feihong Wu:
Comparing Kernels for Predicting Protein Binding Sites from Amino Acid Sequence. 1612-1616 - Wei-Chiang Hong, Ping-Feng Pai, Shun-Lin Yang, Robert Theng:
Highway traffic forecasting by support vector regression model with tabu search algorithms. 1617-1621 - Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Local Support Vector Regression for Financial Time Series Prediction. 1622-1627 - Nancy Arana-Daniel, Eduardo Bayro-Corrochano:
MIMO SVMs for 3D object classification. 1628-1635 - D. Srikrishna Satish, C. Chandra Sekhar:
Kernel based Clustering and Vector Quantization for Speech Segmentation. 1636-1641 - Clodoaldo Ap. M. Lima, Rafael Ferrari, Helder Knidel, Cynthia Junqueira, Romis Ribeiro Faissol Attux, João Marcos Travassos Romano, Fernando J. Von Zuben:
Support Vector Clustering Applied to Digital Communications. 1642-1648
Performance Prediction Challenge I
- Isabelle Guyon, Amir Reza Saffari Azar Alamdari, Gideon Dror, Joachim M. Buhmann:
PerformancePrediction Challenge. 1649-1656 - Roman W. Lutz:
LogitBoost with Trees Applied to the WCCI 2006 Performance Prediction Challenge Datasets. 1657-1660 - Gavin C. Cawley:
Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs. 1661-1668 - Corinne Dahinden:
Classification with Tree-Based Ensembles Applied to the WCCI 2006 Performance Prediction Challenge Datasets. 1669-1672 - Wei Chu:
Model Selection: An Empirical Study on Two Kernel Classifiers. 1673-1679 - Marc Boullé:
Regularization and Averaging of the Selective Naive Bayes classifier. 1680-1688
Computational Intelligence in Power Systems I - Identification & Estimation
- Ekrem Gursoy, Dagmar Niebur:
On-line Estimation of Electric Power System Active Loads. 1689-1694 - Joy Mazumdar, Ganesh K. Venayagamoorthy, Ronald G. Harley, Franklin C. Lambert:
Echo State Networks for Determining Harmonic Contributions from Nonlinear Loads. 1695-1701 - Kwang Y. Lee:
System-Type Neural Network Architectures for Power Systems. 1702-1709 - Innocent Kamwa, Baraboi Baraboi, René Wamkeue:
Sensorless ANN-Based Speed Estimation of Synchronous Generators: Improved Performance through Physically Motivated Pre-filters. 1710-1718 - Wenxin Liu, David A. Cartes, Ganesh K. Venayagamoorthy:
Particle Swarm Optimization based Defensive Islanding of Large Scale Power System. 1719-1725
Signal Processing & Multi-Media
- Pinaki Shankar Chanda, Sungjin Park, Tae Ik Kang:
A Binaural Synthesis with Multiple Sound Sources Based on Spatial Features of Head-related Transfer Functions. 1726-1730 - Jia-Ching Wang, Jhing-Fa Wang, Wai-He Kuok, Cheng-Shu Hsu:
Environmental Sound Classification using Hybrid SVM/KNN Classifier and MPEG-7 Audio Low-Level Descriptor. 1731-1735 - Masaya Ohta, Hideyuki Yamada, Katsumi Yamashita:
BER Performance Improvement of Biased PCC-OFDM with Neural Phase Rotator by Suppressing ICI. 1736-1741 - Ross W. Deming, Shawn Higbee, Derek Dwyer, Michael Welser, Leonid I. Perlovsky, Paola Pellegrini:
Adaptive Estimation for Spectral-Temporal Characterization of Energetic Transient Events. 1742-1749 - Hung-Jen Wang, Chuan-Yu Chang, Sheng-Wen Pan:
A DWT-based Robust Watermarking Scheme with Fuzzy ART. 1750-1757 - Xin Song, Jinkuan Wang, Yinghua Han, Dan Tian:
Neural Network-Based Robust Adaptive Beamforming. 1758-1763
Supervised Learning II
- Andreas Hansson, Lars Niklasson:
Using Segmentation to Control the Retrieval of Data. 1764-1769 - Ken Chen, Bao-Liang Lu, James T. Kwok:
Efficient Classification of Multi-label and Imbalanced Data using Min-Max Modular Classifiers. 1770-1775 - David A. Elizondo, Ralph Birkenhead, Éric D. Taillard:
The Generalisation of the Recursive Deterministic Perceptron. 1776-1783 - Miao Kang, Dominic Palmer-Brown:
A Multi-layer ADaptive FUnction Neural Network (MADFUNN) for Analytical Function Recognition. 1784-1789 - Ryotaro Kamimura:
Supervised Information Maximization by Weighted Distance. 1790-1796 - Benjamin Schrauwen, Jan M. Van Campenhout:
Backpropagation for Population-Temporal Coded Spiking Neural Networks. 1797-1804
Data Mining & Knowledge Discovery
- Francesca Trentini, Markus Hagenbuchner, Alessandro Sperduti, Franco Scarselli:
A Self-Organising Map Approach for Clustering of XML Documents. 1805-1812 - Nghia Tran, Christophe G. Giraud-Carrier, Kevin D. Seppi, Sean Warnick:
Cooperation-based Clustering for Profit-maximizing Organizational Design. 1813-1817 - Elsa M. Jordaan, Iryna Nischenko:
Data Analysis and Confidence based on SVM Density Estimation. 1818-1824 - Haixuan Yang, Irwin King, Michael R. Lyu:
Predictive Random Graph Ranking on the Web. 1825-1832 - Koichi Odajima, Yoichi Hayashi, Rudy Setiono:
Greedy rule generation from discrete data and its use in neural network rule extraction. 1833-1839 - Michael J. Watts, Susan P. Worner:
Using MLP to Determine Abiotic Factors In uencing the Establishment of Insect Pest Species. 1840-1845
Probabilistic & Information-Theoretic Methods
- Yiwen Wang, António R. C. Paiva, José C. Príncipe:
A Monte Carlo Sequential Estimation for Point Process Optimum Filtering. 1846-1850 - Jian-Wu Xu, Puskal P. Pokharel, António R. C. Paiva, José C. Príncipe:
Nonlinear Component Analysis Based on Correntropy. 1851-1855 - Aysegul Gunduz, Anant Hegde, José C. Príncipe:
Correntropy as a Novel Measure for Nonlinearity Tests. 1856-1862 - José Delpiano, Pablo Zegers:
Semi-Autonomous Neural Networks Differential Equation Solver. 1863-1869 - Mingyu Zhong, Dave Coggeshall, Ehsan Ghaneie, Thomas Pope, Mark Rivera, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie:
Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks. 1870-1877 - Felix Feger, Irena Koprinska:
Co-training using RBF Nets and Different Feature Splits. 1878-1885
Model Selection
- Imhoi Koo, Rhee Man Kil:
Nonlinear Model Selection Based on the Modulus of Continuity. 1886-1893 - Matti Kääriäinen:
Semi-Supervised Model Selection Based on Cross-Validation. 1894-1899 - Mathias M. Adankon, Mohamed Cheriet:
New Formulation of SVM for Model Selection. 1900-1907 - Timo Similä, Jarkko Tikka:
Common Subset Selection of Inputs in Multiresponse Regression. 1908-1915 - David L. Donoho, Victoria Stodden:
Breakdown Point of Model Selection When the Number of Variables Exceeds the Number of Observations. 1916-1921 - Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Kunapuli, Jong-Shi Pang:
Model Selection via Bilevel Optimization. 1922-1929
Bioinformatics & Bio-Medical Engineering I
- Feng Chu, Lipo Wang:
Applying RBF Neural Networks to Cancer Classification Based on Gene Expressions. 1930-1934 - Nicholas Stepenosky, Robi Polikar, John Kounios, Christopher M. Clark:
Ensemble Techniques with Weighted Combination Rules for Early Diagnosis of Alzheimer's Disease. 1935-1941 - Xiaoxu Han:
Finding Phylogenetically Informative Genes by Estimating Multispecies Gene Entropy. 1942-1949 - Wei Jiang, Seong G. Kong, Gregory D. Peterson:
Continuous Heartbeat Monitoring Using Evolvable Block-based Neural Networks. 1950-1957 - Vitoantonio Bevilacqua, Giuseppe Mastronardi, Filippo Menolascina, Paolo Pannarale, Antonio Pedone:
A Novel Multi-Objective Genetic Algorithm Approach to Artificial Neural Network Topology Optimisation: The Breast Cancer Classification Problem. 1958-1965 - Davide Anguita, Sandro Ridella, Dario Sterpi:
Testing the Augmented Binary Multiclass SVM on Microarray Data. 1966-1968
Computational Intelligence in Power Systems II - Diagnosis & Control
- Li Liu, David A. Cartes, Wenxin Liu:
Application of Particle Swarm Optimization to PMSM Stator Fault Diagnosis. 1969-1974 - Wenxin Liu, Jagannathan Sarangapani, Ganesh K. Venayagamoorthy, Donald C. Wunsch, David A. Cartes:
Neural Network based Decentralized Excitation Control of Large Scale Power Systems. 1975-1981 - Wei Qiao, Ganesh K. Venayagamoorthy, Ronald G. Harley:
Design of Optimal PI Controllers for Doubly Fed Induction Generators Driven by Wind Turbines Using Particle Swarm Optimization. 1982-1987 - Ahmed Ali Abdalla Esmin:
Loss Power Minimization Using Particle Swarm Optimization. 1988-1992 - Alma Y. Alanis, Edgar N. Sánchez, Alexander G. Loukianov:
Discrete- Time Recurrent Neural Induction Motor Control using Kalman Learning. 1993-2000
Military & Security Applications
- Gymama E. Slaughter, Rosalyn S. Hobson:
Artificial Neural Network for Temporal Impedance Recognition of Neurotoxins. 2001-2008 - Paul E. Keller, Douglas L. McMakin, Thomas E. Hall, David M. Sheen:
Use of a Neural Network to Identify Man-made Structure in Millimeter-Wave Images for Security Screening Applications. 2009-2014 - Alireza A. Dibazar, Abhijith Bangalore, Hyung-Ook Park, Sageev T. George, Walter M. Yamada, Theodore W. Berger:
Hardware Implementation of Dynamic Synapse Neural Networks for Acoustic Sound Recognition. 2015-2022 - Nathan Brannon, Gregory Conrad, Timothy Draelos, John Seiffertt, Donald C. Wunsch:
Information Fusion and Situation Awareness using ARTMAP and Partially Observable Markov Decision Processes. 2023-2030 - Hung-Hsu Tsai, Kuo-Chun Wang, Chi-Chih Liu:
Robust Watermarking in Wavelet Domain Using Rank Order and Genetic Algorithm for Image Authorization. 2031-2038 - Maryam Arvandi, Shuwei Wu, Alireza Sadeghian, William W. Melek, Isaac Woungang:
Symmetric Cipher Design Using Recurrent Neural Networks. 2039-2046
Evolutionary Approaches for Supervised Learning
- Myoung Soo Park, Jin Young Choi:
Fast Incremental Learning Algorithm using Evolutionary Logic Networks for Real-Value Inputs. 2047-2054 - Michael J. Watts:
Nominal-scale Evolving Connectionist Systems. 2055-2059 - Eric Granger, Philippe Henniges, Luiz S. Oliveira, Robert Sabourin:
Particle Swarm Optimization of Fuzzy ARTMAP Parameters. 2060-2067 - Marek Bundzel, Peter Sincak:
Combining Gradient and Evolutionary Approaches to the Artificial Neural Networks Training According to Principles of Support Vector Machines. 2068-2074 - Rodrigo Pasti, Leandro Nunes de Castro:
An Immune and a Gradient-Based Method to Train Multi-Layer Perceptron Neural Networks. 2075-2082 - Helder Knidel, Fernando J. Von Zuben, Leandro Nunes de Castro:
A Supervised Constructive Neuro-Immune Network for Pattern Classification. 2083-2089
Financial Engineering
- Chai Quek, Michel Pasquier, Neha Kumar:
A Novel Recurrent Neural Network Based Prediction System for Trading. 2090-2097 - Georgi M. Dimirovski, Cvetko J. Andreeski:
How Good ANN Identification of Post-Stabilization Inflation Dynamics Can Be? 2098-2105 - Weizhong Yan, Piero P. Bonissone:
Designing a Neural Network Decision System for Automated Insurance Underwriting. 2106-2113 - Jagdish Chandra Patra, Weineng Lim, Pramod Kumar Meher, Ee Luang Ang:
Financial Prediction of Major Indices using Computational Efficient Artificial Neural Networks. 2114-2120 - Lori L. DeLooze:
Attack Characterization and Intrusion Detection using an Ensemble of Self-Organizing Maps. 2121-2128 - Kin Keung Lai, Kaijian He, Chi Xie, Shou Chen:
Market Risk Measurement for Crude Oil: A Wavelet Based VaR Approach. 2129-2136
Ensemble & Other Meta-Learning Algorithms
- Feng Xue, Raj Subbu, Piero P. Bonissone:
Locally Weighted Fusion of Multiple Predictive Models. 2137-2143 - Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.:
Combining Diversity and Classification Accuracy for Ensemble Selection in Random Subspaces. 2144-2151 - Egar Sanchez, Salvador A. Pintos, Néstor V. Queipo:
Toward an Optimal Ensemble of Kernel-based Approximations with Engineering Applications. 2152-2158 - Shibendra S. Pobi, Lawrence O. Hall:
Predicting Juvenile Diabetes from Clinical Test Results. 2159-2165 - Paul F. Evangelista, Mark J. Embrechts, Boleslaw K. Szymanski:
Data Fusion for Outlier Detection through Pseudo-ROC Curves and Rank Distributions. 2166-2173 - Marcílio Carlos Pereira de Souto, Daniel S. A. de Araujo, Bruno L. C. da Silva:
Cluster Ensemble for Gene Expression Microarray Data: Accuracy and Diversity. 2174-2180
Performance Prediction Challenge II
- Eugene Tuv, Alexander Borisov, Kari Torkkola:
Feature Selection Using Ensemble Based Ranking Against Artificial Contrasts. 2181-2186 - Jörg D. Wichard:
Model Selection in an Ensemble Framework. 2187-2192 - Vladimir Nikulin:
Learning with Mean-Variance Filtering, SVM and Gradient-based Optimization. 2193-2200 - Yu-Yen Ou, Hao-Geng Hung, Yen-Jen Oyang:
A Study of Supervised Learning with Multivariate Analysis on Unbalanced Datasets. 2201-2205
Bioinformatics & Bio-Medical Engineering II
- Fernando Rios-Gutiérrez, Rocío Alba-Flores, Khaled Ejaz, Glenn Nordehn, Nicholas Andrisevic, Stanley Burns:
Classification of Four Types of Common Murmurs using Wavelets and a Learning Vector Quantization Network. 2206-2213 - Bancha Charumporn, Toru Fujinaka, Michifumi Yoshioka, Sigeru Omatu:
Compact Electronic Nose Systems Using Metal Oxide Gas Sensors for Fire Detection Systems. 2214-2217 - Shuhei Kimura, Katsuki Sonoda, Soichiro Yamane, Koki Matsumura, Mariko Hatakeyama:
Function Approximation Approach to the Inference of Normalized Gaussian Network Models of Genetic Networks. 2218-2225 - Carlos A. M. Del Carpio, Mohamed Ismael, Eiichiro Ichiishi, Michihisa Koyama, Momoji Kubo, Akira Miyamoto:
An Evolving Automaton for RNA Secondary Structure Prediction. 2226-2233 - Andrew Skabar, Dennis Wollersheim, Tim Whitfort:
Multi-label Classification of Gene Function using MLPs. 2234-2240
Computational Intelligence in Power Systems III - Control of FACTS Devices
- Salman Mohagheghi, Ganesh K. Venayagamoorthy, Ronald G. Harley:
An Interval Type-II Robust Fuzzy Logic Controller for a Static Compensator in a Multimachine Power System. 2241-2248 - Rubén Tapia-Olvera, Juan M. Ramirez:
Power Systems Neural Voltage Control by a StatCom. 2249-2254 - Tridib K. Das, Sandhya R. Jetti, Ganesh K. Venayagamoorthy:
Optimal Design of SVC Damping Controllers with Wide Area Measurements Using Small Population based PSO. 2255-2260 - Swakshar Ray, Ganesh K. Venayagamoorthy:
Real-Time Implementation of an Optimal Transient Neurocontroller for a GCSC. 2261-2266 - P. Z. Haro, Juan M. Ramirez:
SSSC's Adaptive Neural Control. 2267-2273 - M. Tripathy, Sukumar Mishra, Ganesh K. Venayagamoorthy:
Bacteria Foraging: A New Tool for Simultaneous Robust Design of UPFC Controllers. 2274-2280
Posters
- Azhar Salim, Faramarz Valafar:
Reconstruction of Gene Regulatory Networks from Temporal Microarray Data Using Pattern Recognition Techniques. 2281-2286 - Raul Llinares, Jorge Igual, José Millet, María de la Salud Guillem:
Independent Component Analysis of Body Surface Potential Mapping Recordings with Atrial Fibrillation. 2287-2294 - Susan B. Garavaglia:
There Goes the Neighborhood: A Comparison of a "Just-in- Time" SOM with the Traditional Kohonen Map Applied to Segmenting US Medicare Beneficiaries. 2295-2302 - Jae-Yoon Jung, Phil Hyoun Lee:
A Neural Network Model for Maximizing Prediction Accuracy in Haplotype Tagging SNP Selection. 2303-2307 - Alex C. Thomas, Zheng Rong Yang:
Improved Prediction of HIV-1 Protease Genotypic Resistance Testing Assays using a Consensus Technique. 2308-2314 - Xuemei Guan, Liping Sun, Jun Cao:
Level Set Method Based on Improved Mumford-Shah Model Applied in Wood Cell Image Segmentation. 2315-2318 - Kelly P. da Silva, Meika I. Monteiro, Marcílio Carlos Pereira de Souto:
In silico prediction of promoter sequences of Bacillus species. 2319-2324 - Bing Wang, Hau-San Wong, Peng Chen, Hong-Qiang Wang, De-Shuang Huang:
Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks. 2325-2330 - Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang:
Long-Range Interaction Analysis using Principal Component Analysis. 2331-2336 - Carlos A. M. Del Carpio, Eiichiro Ichiishi, Michihisa Koyama, Momoji Kubo, Akira Miyamoto:
A Flexibility Index for Analysis of Bio-molecular Complexes. 2337-2344 - Danil V. Prokhorov:
Feedback Neurocontrol of a Disease. 2345-2348 - Pedro Henrique Gouvêa Coelho, Luiz Biondi Neto:
Complex Kalman Filter Trained Recurrent Neural Network Based Equalizer for Mobile Channels. 2349-2353 - Tich Phuoc Tran, Tony Jan:
Boosted Modified Probabilistic Neural Network (BMPNN) for Network Intrusion Detection. 2354-2361 - Dima Stopel, Zvi Boger, Robert Moskovitch, Yuval Shahar, Yuval Elovici:
Application of Artificial Neural Networks Techniques to Computer Worm Detection. 2362-2369 - Sung-Soo Kim, Myeong-Je Kim, T. Aaron Gulliver:
A New PTS for PAPR Reduction by Local Search in GA. 2370-2373 - Patric L. da Silva, Adaildo G. D'Assunção:
Neuromodelling of Frequency Selective Surfaces and E-Shaped Microstrip Antennas. 2374-2377 - Jimmy Secretan, Michael Georgiopoulos, Ian Maidhof, Philip Shibly, Joshua Hecker:
Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer. 2378-2385 - Chih-Ming Chen, Chin-Ming Hong, Shyuan-Yi Chen, Chao-Yu Liu:
Mining Formative Evaluation Rules Using Learning Portfolios for Web-based Learning Systems. 2386-2393 - Mu-Hsing Kuo, Chin-Lung Chen:
An ETF Trading Decision Support System by Using Neural Network and Technical Indicators. 2394-2401 - Hui Gao, Vladimir Cherkassky:
Real-Time Pricing of Mutual Funds. 2402-2408 - Michihiro Namba, Zhong Zhang:
Cellular Neural Network for Associative Memory and Its Application to Braille Image Recognition. 2409-2414 - Ernst M. Kussul, Tatiana Baidyk, Donald C. Wunsch II, Oleksandr Makeyev, Anabel Martín:
Image Recognition Systems Based on Random Local Descriptors. 2415-2420 - Yegui Xiao, Liying Ma, Khashayar Khorasani:
A New Facial Expression Recognition Technique using 2-D DCT and Neural Networks Based Decision Tree. 2421-2428 - Md. Maruf Monwar, Siamak Rezaei:
Appearance-based Pain Recognition from Video Sequences. 2429-2434 - Lei Huo, Tiandong Duan, Xiangqian Fang:
A Novel Method of Modulation Classification for Digital Signals. 2435-2438 - Steve Green, Michael Blumenstein:
An Exhaustive Search Strategy for Detecting Persons in Beach Scenes using Digital Video Imagery and Neural Network-based Classification. 2439-2444 - Fatih Camci, Ratna Babu Chinnam:
Hierarchical HMMs for Autonomous Diagnostics and Prognostics. 2445-2452 - Kou-Yuan Huang, Jiun-De You, Kai-Ju Chen, Hung-Lin Lai, An-Jin Don:
Hough Transform Neural Network for Seismic Pattern Detection. 2453-2458 - David Muse, Kevin Burn, Stefan Wermter:
Reinforcement Learning for Platform-Independent Visual Robot Control. 2459-2466 - Steffen Prüter, Ralf Salomon:
Local Movement Control with Neural Networks on Autonomous Robots. 2467-2471 - Jiawei Zhang, Liping Sun, Jun Cao:
Data Fusion Modeling of Lumber Moisture Content Sensors Using Chebyshev Functional Link Networks. 2472-2477 - Yaqiu Liu:
Attitude and Vibration Control of Flexible Spacecraft Using Adaptive Inverse Disturbance Canceling. 2478-2484 - Chih-Min Lin, Wei-Che Fan, Chiu-Hsiung Chen, Yu-Ling Hou:
Robust Control for Biped Robot Using Cerebellar Model Articulation Controller. 2485-2490 - Yasuhiro Wada, Koichi Sugiyama:
Task learning for a real robot by using virtual space. 2491-2496 - Huajun Gong, Hao Xu, Fahmida N. Chowdhury:
A Neuro-augmented Observer for a Class of Nonlinear Systems. 2497-2500 - Vadrevu Sree Krishan Chaitanya, Prabir Kumar Sarkar:
A Neural Network Algorithm for the Error Optimization in the Path Tracking Control of a Mobile Robot. 2501-2507 - Sittichote Janpaiboon, Sanya Mitaim:
Adaptive Stochastic Resonance in Color Object Segmentation. 2508-2515 - Youshen Xia, Mohamed S. Kamel:
A Cooperative Recurrent Neural Network Algorithm for Parameter Estimation of Autoregressive Signals. 2516-2522 - Jianping Qiao, Ju Liu, Caihua Zhao:
A Novel SVM-Based Blind Super-Resolution Algorithm. 2523-2528 - James L. King, Leon Reznik:
Topology Selection for Signal Change Detection in Sensor Networks: RBF vs MLP. 2529-2535 - Jérôme Da Rugna, Hubert Konik:
Blur identification in image processing. 2536-2541 - Alexander I. Galushkin, Pavel A. Kazantsev, Svetlana V. Korobkova, Artem M. Lodyagin, Sergey V. Panteleev:
Neural Network Recognition of Spherical Bodies Set Grain-Size Distribution Using Envelope of Surface. 2542-2549 - Maneesha Singh, Peng Wang, Markos Markou:
Partial Object Recognition for Improving Novelty Detection in Videos. 2550-2554 - Zhenhai Wang, Chi Hau Chen:
Factor Analysis for Geophysical Signal Processing with Seismic Profiles. 2555-2560 - Fredric M. Ham, Ranjan Acharyya, Young-Chan Lee:
Speaker Verification using 3-D ROC Curves for Increasing Imposter Rejections. 2561-2565 - Jiann-Shu Lee, Yung-Ming Kuo, Pau-Choo Chung:
The Adult Image Identification Based on Online Sampling. 2566-2571 - Amandeep S. Sidhu, Narendra S. Chaudhari, Ghee Ming Goh:
Hierarchical Reinforcement Learning Model for Military Simulations. 2572-2576 - Hiroshi Dozono, Masanori Nakakuni, Hiroaki Sanada, Yoshio Noguchi:
The Analysis of Pen Inputs of Handwritten Symbols using Self Organizing Maps and its Application to User Authentication. 2577-2582 - Boyun Zhang, Jianping Yin, Wensheng Tang, Jingbo Hao, Dingxing Zhang:
Unknown Malicious Codes Detection Based on Rough Set Theory and Support Vector Machine. 2583-2587 - Shen Zhihe, Liu Feng:
Applying Improved BP Neural Network In Underwater Targets Recognition. 2588-2592 - Ching-Hung Lee, Bor-Hang Wang, Hua-Hsiang Chang, Yi-Hung Pang:
A Novel Wavelet-based-CMAC Neural Network Controller for Nonlinear Systems. 2593-2599 - Jae-Byung Jung, Gerald F. Denny, James W. Tilley, Alex B. Kulinchenko, Patrick K. Simpson:
Broadband Active Sonar Swimmer Detection and Identification. 2600-2605 - Steven B. Morphet, James W. Fawcett, S. Kanat Bolazar, Murat K. Gungor:
Neural Net Analysis of the Propensity for Change in Large Software Systems. 2606-2610 - Eduardo M. Crispim, Pedro M. Ferreira, António E. B. Ruano:
Solar radiation prediction using RBF Neural Networks and cloudiness indices. 2611-2618 - Byoung H. Kim, John P. Velas, Kwang Y. Lee:
Short-Term Load Forecasting Using System-Type Neural Network Architecture. 2619-2626 - Ricardo Menezes Salgado, Joaquim J. F. Pereira, Takaaki Ohishi, Rosangela Ballini, Clodoaldo Ap. M. Lima, Fernando J. Von Zuben:
A Hybrid Ensemble Model Applied to the Short-Term Load Forecasting Problem. 2627-2634 - Paulo Cortez, Miguel Rio, Miguel Rocha, Pedro Nuno Miranda de Sousa:
Internet Traffic Forecasting using Neural Networks. 2635-2642 - Sung-Chi Hsu, Ming-Der Yang, Ming-Che Chen, Ji-Yuan Lin:
Artificial Neural Network of Liquefaction Evaluation for Soils with High Fines Content. 2643-2649 - Yanjing Sun, Jiansheng Qian, Shiyin Li, Jinling Song:
Intelligent Prediction System of Coal-Gas Outburst Based on Evolutionary Neural Nets. 2650-2655 - Ronaldo R. B. de Aquino, Aida Araujo Ferreira, Milde M. S. Lira, Geane B. Silva, Otoni Nóbrega Neto, J. B. Oliveira, Carlos F. D. Diniz, J. Fideles:
A Hybrid Intelligent System for Short and Mid-term Forecasting for the CELPE Distribution Utility. 2656-2661 - Antonio Chella, Patrizia Ciarlini, Umberto Maniscalco:
Neural Networks as Soft Sensors: a Comparison in a Real World Application. 2662-2668 - Nasser Sadati, Behnam Sedighi:
A Non-Linear Neural D/A Converter for Direct Digital Frequency Synthesizers. 2669-2672 - Hasan Abdulkader, Daniel Roviras, Ridha Chaggara, Willy Vigneau, Francis Castanie:
Mitigation of Multipath Influence on Tracking Errors in LEO Navigation Applications. 2673-2678 - Wataru Noguchi, Cong-Kha Pham:
A Proposal to Solve N-Queens Problems Using Maximum Neuron Model with A Modified Hill-Climbing Term. 2679-2682 - Hazem M. El-Bakry:
New Fast Time Delay Neural Networks Using Cross Correlation Performed in the Frequency Domain. 2683-2690 - Tae-Hyoung Kim, Chi-Hwa Song, Won Don Lee, Jae-Cheol Ryou:
Building a Packages Delivery Schedule Using Extended Simulated Annealing. 2691-2695 - Aroor Dinesh Dileep, Chellu Chandra Sekhar:
Identification of Block Ciphers using Support Vector Machines. 2696-2701 - Anahita Zarei, Mohamed A. El-Sharkawi, Michael Hairfield, Gregory King:
An Intelligent System for Prediction of Orthodontic Treatment Outcome. 2702-2706 - Yoichi Ishikawa, Yoshihisa Ishida:
Model-Following Controller for Nonlinear Plants using RBF Neural Networks. 2707-2712 - Miguel Ángel Cristín Valdez, Jaime Adrián Orozco Valera, María Jojutla Olimpia Pacheco Arteaga:
Estimating Soc in Lead-Acid Batteries Using Neural Networks in a Microcontroller-Based Charge-Controller. 2713-2719 - Shengxiang Yang:
Job-Shop Scheduling with an Adaptive Neural Network and Local Search Hybrid Approach. 2720-2727 - Vytautas Galvanauskas, Petia Georgieva, Sebastião Feyo de Azevedo:
Dynamic Optimisation of Industrial Sugar Crystallization Process based on a Hybrid (mechanistic+ANN) Model. 2728-2735 - Luis E. Zárate, Elizabeth Marques Duarte Pereira, Leonardo A. R. Oliveira, Victor P. Gil, Tadeu R. A. Santos, Bruno M. Nogueira:
Techniques for Training Sets Selection in the Representation of a Thermosiphon System Via ANN. 2736-2741 - Luis E. Zárate, Elizabeth Marques Duarte Pereira:
Parametric Analysis of Solar Collectors Through Sensitivity Factors Via Artificial Neural Networks. 2742-2748 - Jung Hoon Lee, Konstantin Likharev:
In Situ Training of CMOL CrossNets. 2749-2756 - Yicong Meng, Stanley Y. M. Lam, Eric K. C. Tsang, Bertram Emil Shi:
An Efficient Spike-Based Communication Protocol for Neurally Inspired Feature Maps. 2757-2764 - Kun-Neng Hung, Chih-Min Lin, Fu-Shan Ding:
Adaptive Neural Control for Switching Power Supplies Using Gaussian Wavelet Networks. 2765-2770 - Milos Stanisavljevic, Alexandre Schmid, Yusuf Leblebici:
Fault-Tolerance of Robust Feed-Forward Architecture Using Single-Ended and Differential Deep-Submicron Circuits Under Massive Defect Density. 2771-2778 - Fergal Tuffy, Liam McDaid, Vunfu Wong Kwan, John Alderman, T. Martin McGinnity, Peter M. Kelly, Jose A. Santos:
Inter-Neuron Communications for Large-Scale Neural Networks using Capacitive Coupling. 2779-2784 - Kuo-Kai Shyu, Ming-Huan Li:
FPGA Implementation of FastICA based on Floating-Point Arithmetic Design for Real-Time Blind Source Separation. 2785-2792 - Il Song Han:
A Pulse-based Neural Hardware Implementation Based on the Controlled Conductance by MOSFET Circuit. 2793-2799 - Y. Bénédic, Jean Mercklé:
Optimization of Binary-Output CNNs: First Step of an Analytical Design Process. 2800-2806 - Sofien Chtourou, Omar Hammami, Mohamed Chtourou:
JPEG-2000 Workload Prediction for Adaptive System on Chip Entropy Coders Architecture. 2807-2814 - Sherif M. Saif, Hazem M. Abbas, Salwa M. Nassar:
An FPGA Implementation of a Competitive Hopfield Neural Network for Use in Histogram Equalization. 2815-2822 - Sofien Chtourou, Mohamed Chtourou, Omar Hammami:
Neural Network Based Memory Access Prediction Support for SoC Dynamic Reconfiguration. 2823-2829 - Ralf Eickhoff, Tim Kaulmann, Ulrich Rückert:
SIRENS: A Simple Reconfigurable Neural Hardware Structure for artificial neural network implementations. 2830-2837 - Sergio Decherchi, Giovanni Parodi, Paolo Gastaldo, Rodolfo Zunino:
Embedded Electronics Systems for Training Support Vector Machines. 2838-2844 - Richard Neville:
A hardware implementation of Multi-level Threshold Logic for Artificial Neural Net. 2845-2851 - Cheng-Jian Lin, Tzu-Chao Lin, Chin-Ling Lee:
An Asymmetry Subsethood-Based Neural Fuzzy Network. 2852-2858 - Feng Liu, Geok See Ng, Chai Quek, Tsee Foong Loh:
Artificial Ventilation Modeling using Neuro-Fuzzy Hybrid System. 2859-2864 - Tuan Zea Tan, Chai Quek, Geok See Ng:
Clinical Diagnosis Using Proteomics and Complementary Learning. 2865-2872 - René V. Mayorga, Sandeep Chandana:
A Neuro-Fuzzy Approach for the Motion Planning of Redundant Manipulators. 2873-2878 - Geraldo Souza Reis Jr., Paulo E. M. de Almeida:
Modified Fuzzy-CMAC Networks with Clustering-based Structure. 2879-2886 - Cheng-Jian Lin, Shang-Jin Hong, Chi-Yung Lee:
The Design of Neuro-Fuzzy Networks Using Particle Swarm Optimization and Recursive Singular Value Decomposition. 2887-2893 - Chia-Feng Juang, Chun-I Lee, Tung-Jung Chan:
A Fuzzified Neural Fuzzy Inference Network that Learns from Linguistic Information. 2894-2899 - Masayuki Murakami, Nakaji Honda:
Model Accuracy of the IDS Method for Three-input Systems and a Basic Constructive Algorithm for Structural Optimization. 2900-2906 - Jürgen Paetz:
Evolution of Real Valued Weights for RBF-DDA Networks. 2907-2913 - Lin-Yu Tseng, Wen-Ching Chen:
A Two-Phase Genetic Local Search Algorithm for Feedforward Neural Network Training. 2914-2918 - Nobuhiko Kondo, Toshiharu Hatanaka, Katsuji Uosaki:
Pattern Classification by Evolutionary RBF Networks Ensemble Based on Multi-objective Optimization. 2919-2925 - Hong Zhang, Masumi Ishikawa:
An Evolutionary Approach to Data Classification - Hybrid Real-Coded Genetic Algorithm with Pruning. 2926-2931 - Byran O'Hora, Jerome Perera, Anthony Brabazon:
Designing Radial Basis Function Networks for Classification Using Differential Evolution. 2932-2937 - Habib Dhahri, Adel M. Alimi:
The Modified Differential Evolution and the RBF (MDE-RBF) Neural Network for Time Series Prediction. 2938-2943 - Diego A. Gutnisky, Rina Zelmann, B. Silvano Zanutto:
Multiagent team formation performed by operant learning: an animat approach. 2944-2950 - Laura Emmanuella A. Santana, Anne M. P. Canuto, Márjory C. C. Abreu:
Analyzing the Performance of an Agent-based Neural System for Classification Tasks Using Data Distribution among the Agents. 2951-2958 - Márjory C. C. Abreu, Anne M. P. Canuto:
Analyzing the Benefits of Using a Fuzzy-Neuro Model in the Accuracy of the NeurAge System: an Agent-Based System for Classification Tasks. 2959-2966 - Fei Li, Chengjie Xie, Dongsheng Zheng, Baoyu Zheng:
Feedback Quantum Neuron for Multiuser Detection. 2967-2971 - Jahangheer S. Shaik, Mohammed Yeasin:
Performance Evaluation of Subspace-based Algorithm in Selecting Differentially Expressed Genes and Classification of Tissue Types from Microarray Data. 2972-2979 - Jahangheer S. Shaik, Mohammed Yeasin:
A Progressive Framework for Two-Way Clustering Using Adaptive Subspace Iteration for Functionally Classifying Genes. 2980-2985 - Narri Yadaiah, N. Ravi Kumar, Gaddam Tulasi Ram Das:
Comparison of Conventional, Fuzzy Logic and Neural Based HBPWM Current Controllers. 2986-2992 - Ting Yu, Tony Jan, John K. Debenham, Simeon J. Simoff:
Classify Unexpected News Impacts to Stock Price by Incorporating Time Series Analysis into Support Vector Machine. 2993-2998 - Tong-Seng Quah, Mie Mie Thet Thwin:
Utilizing Computational Intelligence in Estimating Software Readiness. 2999-3006 - Tong-Seng Quah, Kian-Chong Wong:
Utilizing Generalized Growing and Pruning Algorithm for Radial Basis Function (GGAP-RBF) Network in Predicting IPOs Performance. 3007-3012 - Humberto Cesar Brandao de Oliveira, Germano C. Vasconcelos, Guilherme Bastos Alvarenga:
Reducing Traveled Distance in the Vehicle Routing Problem with Time Windows using a Multi-Start Simulated Annealing. 3013-3020 - Jonathan Villanueva, Vianery Cruz, Gerardo Reyes, Aaron Benitez:
Extracting Refined Rules from Hybrid Neuro-Symbolic Systems. 3021-3025 - Wladyslaw Homenda:
Automatic understanding of images: integrated syntactic and semantic analysis of music notation. 3026-3033 - Pawalai Kraipeerapun, Kok Wai Wong, Chun Che Fung, Warick Brown:
Quantification of Uncertainty in Mineral Prospectivity Prediction Using Neural Network Ensembles and Interval Neutrosophic Sets. 3034-3039 - Chin-Ming Hong, Chih-Ming Chen, Chao-Yang Chiu:
New Word Extraction Utilizing Google News Corpuses for Supporting Lexicon-based Chinese Word Segmentation Systems. 3040-3046 - Michael J. Healy, Thomas P. Caudell:
Knowledge Representation and Possible Worlds for Neural Networks. 3047-3054 - Alexandros Chortaras, Giorgos B. Stamou, Andreas Stafylopatis, Stefanos D. Kollias:
A Connectionist Model for Weighted Fuzzy Programs. 3055-3062 - Stefan Lessmann, Robert Stahlbock, Sven F. Crone:
Genetic Algorithms for Support Vector Machine Model Selection. 3063-3069 - Eulanda Miranda dos Santos, Robert Sabourin, Patrick Maupin:
Single and Multi-Objective Genetic Algorithms for the Selection of Ensemble of Classifiers. 3070-3077 - Shun Bian, Wenjia Wang:
Investigation on Diversity in Homogeneous and Heterogeneous Ensembles. 3078-3085 - Renan W. F. Vitral:
The Neurodynamics of the Hippocampal Place Fields. 3086-3093 - André Alves Portela Santos, Leandro dos Santos Coelho:
Neural Networks, Fuzzy System, and Linear Models in Forecasting Exchange Rates: Comparison and Case Studies. 3094-3099 - Kazi Shah Nawaz Ripon, Chi-Ho Tsang, Sam Kwong:
Multi-Objective Evolutionary Job-Shop Scheduling Using Jumping Genes Genetic Algorithm. 3100-3107 - Ya-Fu Peng, Ming-Hung Lin, Chao-Ming Chong:
Design of Output Recurrent CMAC Backstepping Control System for Tracking Periodic Trajectories. 3108-3113 - Chiu-Hsiung Chen, Chih-Min Lin, Yu-Ling Hou, Wei-Che Fan:
CMAC-Based Supervisory Control for Chaotic Chua's Circuits. 3114-3119
Natural Computation for Temporal Data Processing
- Yun Yang, Ke Chen:
An Ensemble of Competitive Learning Networks with Different Representations for Temporal Data Clustering. 3120-3127 - Zhidong Deng, Yi Zhang:
Complex Systems Modeling Using Scale-Free Highly-Clustered Echo State Network. 3128-3135 - Tsukasa Ishigaki, Tomoyuki Higuchi, Kiyoshi Watanabe:
Online Detection and Classification of Disasters by a Multiple-input/single-output Sensor for a Home Security System. 3136-3143 - Olivier F. Manette, Marc A. Maier:
TempUnit: A bio-inspired neural network model for signal processing. 3144-3151 - Chamila Walgampaya, Mehmed M. Kantardzic:
Selection of Distributed Sensors for Multiple Time Series Prediction. 3152-3158 - Sven F. Crone, Stefan Lessmann, Swantje Pietsch:
Forecasting with Computational Intelligence - An Evaluation of Support Vector Regression and Artificial Neural Networks for Time Series Prediction. 3159-3166
Applications of Supervised Learning
- Hidenori Naganuma, Takahumi Oohori, Kazuhisa Watanabe:
Learning Cyclic Oscillation By Digital Type Recurrent Neural Network. 3167-3174 - Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Alberto Prieto:
Supervised RBFNN Centers and Radii Initialization for Function Approximation Problems. 3175-3180 - Long Han, Mark J. Embrechts, Yunqing Chen, Xicheng Zhang:
Kernel Partial Least Squares for the Identification of Mixture Content from TeraHertz Spectra. 3181-3187 - Adriano L. I. Oliveira, Silvio R. L. Meira:
Improving RBF-DDA Performance on Optical Character Recognition through Weights Adjustment. 3188-3195 - Sambu Seo, Klaus Obermayer:
Dynamic Hyperparameter Scaling Method for LVQ Algorithms. 3196-3203
Pattern Recognition & Diagnostics I
- Ing Ren Tsang, Ing Jyh Tsang:
Neighbourhood Vector as Shape Parameter for Pattern Recognition. 3204-3209 - Cleber Zanchettin, George D. C. Cavalcanti, Rodrigo C. Doria, Eduardo F. A. Silva, Juliano C. B. Rabelo, Byron L. D. Bezerra:
A neural architecture to identify courtesy amount delimiters. 3210-3217 - Meng Hu, Jiaojie Li, Guang Li, Xiaowei Tang, Qiuping Ding:
Classification of Normal and Hypoxia EEG Based on Approximate Entropy and Welch Power-Spectral-Density. 3218-3222 - Neil H. W. Eklund, Kai F. Goebel:
Using Meta-Features to Boost the Performance of Classifier Fusion Schemes for Time Series Data. 3223-3230 - Fulufhelo V. Nelwamondo, Unathi Mahola, Tshilidzi Marwala:
Improving Speaker Identification Rate Using Fractals. 3231-3236 - Tshilidzi Marwala, Unathi Mahola, Fulufhelo V. Nelwamondo:
Hidden Markov Models and Gaussian Mixture Models for Bearing Fault Detection Using Fractals. 3237-3242
Attractor Neural Networks & Associative Memory I
- Boris Kryzhanovsky, Bashir M. Magomedov, Anatoly B. Fonarev:
On the Probability of Finding Local Minima in Optimization Problems. 3243-3248 - Vladimir Kryzhanovsky, Bashir M. Magomedov, Anatoly B. Fonarev, Boris Kryzhanovsky:
Domain Dynamics in Hopfield Model. 3249-3253 - Eu Jin Teoh, Huajin Tang, Kay Chen Tan:
A Columnar Competitive Model with Simulated Annealing for Solving Combinatorial Optimization Problems. 3254-3259 - Filip Piekniewski:
Mesoscopic Approach to Locally Hopfield Neural Networks in Presence of Correlated Patterns. 3260-3266 - Masanao Ando, Yusuke Okuno, Yuko Osana:
Hetero Chaotic Associative Memory for Successive Learning with Multi-Winners Competition. 3267-3274 - Ming-Jung Seow, Vijayan K. Asari:
On the Divergence Dynamics of the Nonlinear Line of Attraction. 3275-3278
Constructive/Hierarchical Self-Organizing Maps
- Gary G. Yen, Zheng Wu:
A Self-Organizing Map Based Approach for Document Clustering and Visualization. 3279-3286 - Pablo A. Estévez, Andrés M. Chong:
Geodesic Nonlinear Mapping Using the Neural Gas Network. 3287-3294 - Carlos Bedregal, Ernesto Cuadros-Vargas:
Using Large Databases and Self-Organizing Maps without tears. 3295-3299 - Chung-Chian Hsu, Kuo-Min Wang, Sheng-Hsuan Wang:
GViSOM for Multivariate Mixed Data Projection and Structure Visualization. 3300-3305 - Arijit Laha, Bhabatosh Chanda, Nikhil R. Pal:
Accelerated codebook searching in a SOM-based Vector Quantizer. 3306-3311
Multi-Objective Machine Learning
- Marcelo Azevedo Costa, Antônio de Pádua Braga:
Optimization of Neural Networks with Multi-Objective LASSO Algorithm. 3312-3318 - Julia Handl, Joshua D. Knowles:
Semi-supervised feature selection via multiobjective optimization. 3319-3326 - Paulo Vinicius Wolski Radtke, Tony Wong, Robert Sabourin:
An Evaluation of Over-Fit Control Strategies for Multi-Objective Evolutionary Optimization. 3327-3334 - Yaochu Jin, Bernhard Sendhoff:
Alleviating Catastrophic Forgetting via Multi-Objective Learning. 3335-3342 - Alan P. Reynolds, Beatriz de la Iglesia:
Rule Induction Using Multi-Objective Metaheuristics: Encouraging Rule Diversity. 3343-3350
Statistical & Pattern Recognition Algorithms I
- Kenji Nagata, Sumio Watanabe:
The Exchange Monte Carlo Method for Bayesian Learning in Singular Learning Machines. 3351-3357 - Sheng Chen, Chris J. Harris, Xia Hong:
Construction of RBF Classifiers with Tunable Units using Orthogonal Forward Selection Based on Leave-One-Out Misclassification Rate. 3358-3362 - Hyun Chul Cho, Sami M. Fadali:
Online Estimation of Dynamic Bayesian Network Parameter. 3363-3370 - Hyun-Chul Kim, Daijin Kim, Zoubin Ghahramani, Sung Yang Bang:
Gender Classification with Bayesian Kernel Methods. 3371-3376 - Bernardete Ribeiro, Armando Vieira, João Carvalho das Neves:
Sparse Bayesian Models: Bankruptcy-Predictors of Choice? 3377-3381 - Wladyslaw Homenda, Marcin Luckner:
Automatic Knowledge Acquisition: Recognizing Music Notation with Methods of Centroids and Classifications Trees. 3382-3388
Supervised Training Methods
- Sabeur Abid, Aymen Mouelhi, Farhat Fnaiech:
Accelerating the Multilayer Perceptron Learning with the Davidon Fletcher Powell Algorithm. 3389-3394 - Boris Jansen, Kenji Nakayama:
An Adaptive Penalty-Based Learning Extension for Backpropagation and its Variants. 3395-3400 - Antoniya Georgieva, Ivan Jordanov:
Supervised Neural Network Training with a Hybrid Global Optimization Technique. 3401-3408 - Thomas J. Strain, Liam McDaid, Liam P. Maguire, T. Martin McGinnity:
A Supervised STDP Based Training Algorithm with Dynamic Threshold Neurons. 3409-3414 - Smriti Bhagat, Dipti Deodhare:
Divide and Conquer Strategies for MLP Training. 3415-3420 - Takuya Kidera, Seiichi Ozawa, Shigeo Abe:
An Incremental Learning Algorithm of Ensemble Classifier Systems. 3421-3427
Pattern Recognition & Diagnostics II
- Pundarikaksha Baruah, Ratna Babu Chinnam, Dimitar P. Filev:
An Autonomous Diagnostics and Prognostics Framework for Condition-Based Maintenance. 3428-3435 - Milde M. S. Lira, Ronaldo R. B. de Aquino, Aida Araujo Ferreira, Manoel A. Carvalho, Carlos Alberto B. de O. Lira:
Improving Disturbance Classification by Combining Multiple Artificial Neural Networks. 3436-3442 - Hosein Marzi:
Health Monitoring of Complex Systems using Parallel Neural Networks. 3443-3448 - Estefan Ortiz, Vassilis L. Syrmos:
Support Vector Machines and Wavelet Packet Analysis for Fault Detection and Indentification. 3449-3456 - Yu-Chiang Frank Wang, David P. Casasent:
Hierarchical K-means Clustering Using New Support Vector Machines for Multi-class Classification. 3457-3464 - Uzair Ahmad, Andrey Gavrilov, Sungyoung Lee, Young-Koo Lee:
Modular Multilayer Perceptron for WLAN Based Localization. 3465-3471
Attractor Neural Networks & Associative Memory II
- Hiroshi Inaba, Takafumi Ooki, Keylan Alimhan:
Locally Asymptotically Stable Fixed-point Assignment Problems in Neural Networks and Application to Associative Memory. 3472-3477 - Yasuaki Kuroe, Kei Miura:
Generation of Oscillatory Trajectories with Specified Stability Degree Using Recurrent Neural Networks. 3478-3485 - Alexander A. Frolov, Dusan Húsek, Pavel Polyakov, Hana Rezanková:
New Neural Network Based Approach Helps to Discover Hidden Russian Parliament Voting Patterns. 3486-3491 - Guy Desjardins, Robert Proulx, Robert Godin:
An Auto-Associative Neural Network for Information Retrieval. 3492-3498 - Mohammad Reza Rajati, Mohammad Bagher Menhaj:
Stability of Equilibrium Points and Storage Capacity of Hopfield Neural Networks with Higher Order Nonlinearity. 3499-3502 - Yilei Wu, Qing Song, Sheng Liu:
Incremental Gain Analysis of Chaotic Recurrent Neural Network and Applications in Pattern Association. 3503-3509
Self-Organizing Maps I
- Muhammad Aziz Muslim, Masumi Ishikawa, Tetsuo Furukawa:
A New Approach to Task Segmentation in Mobile Robots by mnSOM. 3510-3517 - Vicente Oswaldo Baez Monroy, Simon O'Keefe:
The identification and extraction of itemset support defined by the weight matrix of a Self-Organising Map. 3518-3525 - Masato Tomita, Haruna Matsushita, Yoshifumi Nishio:
Behavior of Fatigable SOM and its Application to Clustering. 3526-3531 - Kambiz Jarrah, Sridhar Krishnan, Ling Guan:
Automatic Content-Based Image Retrieval Using Hierarchical Clustering Algorithms. 3532-3537 - Jorge Rivera-Rovelo, Eduardo Bayro-Corrochano:
Medical Image Segmentation using a Self-organizing Neural Network and Clifford Geometric Algebra. 3538-3545 - Ana Isabel González, Alicia D'Anjou, Manuel Graña:
Convergence of SOM and NG as GNC algorithms. 3546-3552
Neural Networks Applications to Bioinformatics I
- Rosalia Maglietta, Annarita D'Addabbo, Ada Piepoli, Francesco Perri, Sabino Liuni, Graziano Pesole, Nicola Ancona:
Classification error as a measure of gene relevance in cancer diagnosis. 3553-3560 - Alfonso Montuori, Luisa Pugliese, Giovanni Raimondo, Eros Pasero:
Feature Selection for Data Driven Prediction of Protein Model Quality. 3561-3565 - Maurizio Filippone, Francesco Masulli, Stefano Rovetta:
Supervised Classification and Gene Selection Using Simulated Annealing. 3566-3571 - Erinija Pranckeviciene, Ray L. Somorjai:
On Classification Models of Gene Expression Microarrays: The Simpler the Better. 3572-3579 - Holger Fröhlich, Nora Speer, Christian Spieth, Andreas Zell:
Kernel Based Functional Gene Grouping. 3580-3585 - David C. Trudgian, Felicia Charles Johnson, Zheng Rong Yang:
Predicting HIV-1 T Cell Epitopes Using Bio-basis Function Neural Networks. 3586-3593
Statistical & Pattern Recognition Algorithms II
- Pedro J. García-Laencina, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal:
Pattern Classification with Missing Values using Multitask Learning. 3594-3601 - Anbang Xu, Xin Jin, Ping Guo, Rongfang Bie:
KICA Feature Extraction in Application to FNN based Image Registration. 3602-3608 - Kazi Shah Nawaz Ripon, Chi-Ho Tsang, Sam Kwong:
Multi-Objective Data Clustering using Variable-Length Real Jumping Genes Genetic Algorithm and Local Search Method. 3609-3616 - Rodrigo T. Peres, Carlos Eduardo Pedreira:
Preliminary Results on Noise Detection and Data Selection for Vector Quantization. 3617-3621 - Tshilidzi Marwala:
Bayesian Training of Neural Networks Using Genetic Programming. 3622-3626 - Daewon Lee, Jaewook Lee:
A Novel Semi-Supervised Learning Methods Using Support Vector Domain Description. 3627-3633
Learning & Memory
- Seong-Joo Han, Se-Young Oh:
Enhanced Walsh Function Based Distributed Associative Memory for Pattern Recognition. 3634-3639 - Andrew Luk, Sandra Lien:
Lotto-Type Competitive Learning with Particle Swarm Features II. 3640-3647 - Toshihiko Matsuka, Arieta Chouchourelou:
A Model of Human Category Learning with Dynamic Multi-Objective Hypotheses Testing with Retrospective Verifications. 3648-3656 - Hyun-Chul Choi, Se-Young Oh:
Efficient Human-like Memory Management based on Walsh-based Associative Memory for Real-time Pattern Recognition. 3657-3663 - Alejandra Barrera Ramirez, Alfredo Weitzenfeld Ridel:
Biologically Inspired Neural Controller for Robot Learning and Mapping. 3664-3671 - Sin Chun Ng, Shu Hung Leung, Andrew Luk, Yunfeng Wu:
Convergence Analysis of Generalized Back-propagation Algorithm with Modified Gradient Function. 3672-3678
Diagnostics with Neural Networks
- Maryam Miradi, Andre A. A. Molenaar:
Application of Artificial Neural Network (ANN) to PA Lifespan: Forecasting Models. 3679-3685 - Iz Al-Dein Al-Zyoud, Khashayar Khorasani:
Neural Network-based Actuator Fault Diagnosis for Attitude Control Subsystem of an Unmanned Space Vehicle. 3686-3693 - Minh Nhut Nguyen, Jinfu Guo, Daming Shi:
ESOFCMAC: Evolving Self-Organizing Fuzzy Cerebellar Model Articulation Controller. 3694-3699 - Flavio Bezerra Costa, Kleber Melo Silva, Benemar Alencar Souza, Karcius Marcelus Colaco Dantas, Nubia Silva Dantas Brito:
A Method for Fault Classification in Transmission Lines Based on ANN and Wavelet Coefficients Energy. 3700-3705 - Antonio J. Vallejo, Rubén Morales-Menéndez, Ciro A. Rodríguez, Luis Enrique Sucar:
Diagnosis of a Cutting Tool in a Machining Center. 3706-3713 - Zhongqi Li, Liying Ma, Khashayar Khorasani:
A Dynamic Neural Network-based Reaction Wheel Fault Diagnosis for Satellites. 3714-3721
Temporal Data Analysis, Prediction & Forecasting
- Salvatore Marra, Francesco Carlo Morabito:
Solar Activity Forecasting by Incorporating Prior Knowledge from Nonlinear Dynamics into Neural Networks. 3722-3728 - Chang-Shian Chen, Chao-Chung Yang, Chin-Hui Liu:
The Interval Estimation of Parameters for Back-Propagation Network to Flood Discharge Forecasting. 3729-3735 - Petr Musílek, Emil Pelikán, Tomas Brabec, Milan Simunek:
Recurrent Neural Network Based Gating for Natural Gas Load Prediction System. 3736-3741 - Gecynalda Soares da Silva Gomes, André Luis Santiago Maia, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho, Aluízio F. R. Araújo:
Hybrid model with dynamic architecture for forecasting time series. 3742-3747 - Leandro dos Santos Coelho, Renato A. Krohling:
Nonlinear System Identification Based on B-Spline Neural Network and Modified Particle Swarm Optimization. 3748-3753 - Masayuki Kobayashi, Tetsuya Yukawa, Yasuhito Kuze, Tetsuro Matsui, Tatsuya Iizaka, Yoshikazu Fukuyama:
Electric Load Forecasting using Scatter Search Based Weighted Average Weather Conditions. 3754-3759
Self-Organizing Maps II
- Rodrigo Pasti, Leandro Nunes de Castro:
A Neuro-Immune Network for Solving the Traveling Salesman Problem. 3760-3766 - Matthew J. Kyan, Ling Guan:
The Self-Organising Hierarchical Variance Map. 3767-3774 - Alaa El. Sagheer, Naoyuki Tsuruta, Sakashi Maeda, Rin-Ichiro Taniguchi, Daisaku Arita:
Fast Competition Approach using Self Organizing Map for Lip-Reading Applications. 3775-3782 - Philip C. Igwe, Archana P. Sangole, George K. Knopf:
Shape Morphing and Reconstruction Using A Self-Organizing Feature Map. 3783-3789 - Daniel Nehme Müller, Mozart Lemos de Siqueira, Philippe Olivier Alexandre Navaux:
A Connectionist Approach to Speech Understanding. 3790-3797 - Philip C. Igwe, George K. Knopf:
Self-Organizing Feature Map (SOFM) based Deformable CAD Models. 3798-3804
Neural Networks Applications to Bioinformatics II
- Razvan Andonie, Levente Fabry-Asztalos, Sarah Abdul-Wahid, Catharine Collar, Nicholas Salim:
An Integrated Soft Computing Approach for Predicting Biological Activity of Potential HIV-1 Protease Inhibitors. 3805-3812 - Rajat K. De, Kasturi Biswas:
Connectionist Modelling of Dynamics of Gene Expression and Reverse Engineering Gene Regulatory Networks. 3813-3819 - Alexandru George Floares:
Computation Intelligence Tools for Modeling and Controlling Pharmacogenomic Systems: Genetic Programming and Neural Networks. 3820-3827 - Leif E. Peterson, Ron C. Hoogeveen, Henry J. Pownall, Joel D. Morrisett:
Classification Analysis of Surface-enhanced Laser Desorption/Ionization Mass Spectral Serum Profiles for Prostate Cancer. 3828-3835 - Alexander L. Tatuzov, Alexis A. Tatuzov:
Neural Network Modeling of Species Evolution: Loss and Gain in Complete Genome. 3836-3842 - B. Chandra, Sudhir Nath, Arun Malhothra:
Classification and Clustering of Breast Cancer Images. 3843-3847
Pulse Neural Networks: Theory, Biological Basis & Applications
- Eric Goodman, Dan Ventura:
Spatiotemporal Pattern Recognition via Liquid State Machines. 3848-3853 - Si-Yao Fu, Yun-Chu Zhang, Long Cheng, Zi-ze Liang, Zeng-Guang Hou, Min Tan:
Motion Based Image Deblur Using Recurrent Neural Network for Power Transmission Line Inspection Robot. 3854-3859 - Hiroyuki Torikai, Yoshiaki Shimizu, Toshimichi Saito:
Various spike-trains from a digital spiking neuron: analysis of inter-spike intervals and their modulation. 3860-3867 - Noriyasu Homma, Madan M. Gupta, Zeng-Guang Hou:
Noise resistance and enhancement of neural performance by using spike signals. 3868-3873 - Yoshinari Makino, Hisanori Makinae, Tsukasa Obara, Haruki Miura, Masafumi Yano:
Observations of Olfactory Information Flows within Brain of the Terrestrial Slug, Inciralia fruhstorferi. 3874-3881 - Yasuaki Kuroe, Hitoshi Iima:
A Learning Method for Synthesizing Spiking Neural Oscillators. 3882-3886
Unsupervised Learning I
- Juyang Weng, Nan Zhang:
Optimal In-Place Learning and the Lobe Component Analysis. 3887-3894 - Nils Goerke, Alexandra Scherbart:
Classification using Multi-SOMs and Multi-Neural Gas. 3895-3902 - Lorenzo Riano, Riccardo Rizzo, Antonio Chella:
A New Unsupervised Neural Network for Pattern Recognition with Spiking Neurons. 3903-3910 - Akihide Horita, Kenji Nakayama, Akihiro Hirano, Yasuhiro Dejima:
A Distortion Free Learning Algorithm for Feedforward BSS and ITS Comparative Study with Feedback BSS. 3911-3918 - Heeyoul Choi, Seungjin Choi:
Relative Gradient Learning for Independent Subspace Analysis. 3919-3924 - Yong Liu:
Create Stable Neural Networks by Cross-Validation. 3925-3928
Image Processing
- Xiaoyan Mu, Paul Watta, Mohamad H. Hassoun:
A Weighted Voting and Sequential Combination of Classifiers Scheme for Human Face Recognition. 3929-3935 - Chi-Cheng Ting, Jhan-Syuan Yu, Jiun-Shuen Tzeng, Jung-Hua Wang:
Improved Snake Model for Fast Image Segmentation. 3936-3941 - Shakir Mohamed, Thando Tettey, Tshilidzi Marwala:
An Extension Neural Network and Genetic Algorithm for Bearing Fault Classification. 3942-3948 - Weibao Zou, Yan Li, King Chuen Lo, Zheru Chi:
Improvement of Image Classification with Wavelet and Independent Component Analysis (ICA) based on a Structured Neural Network. 3949-3954 - Yok-Yen Nguwi, Abbas Z. Kouzani:
Automatic Road Sign Recognition Using Neural Networks. 3955-3962 - Kazuo Ohmi, Achyut Sapkota:
Particle Tracking Velocimetry Using Cellular Neural Network. 3963-3969
Learning & Dynamics in Attractor & Spiking Neural Networks
- Sam McKennoch, Dingding Liu, Linda G. Bushnell:
Fast Modifications of the SpikeProp Algorithm. 3970-3977 - Sérgio M. Silva, António E. B. Ruano:
Application of the Levenberg-Marquardt method to the training of spiking neural networks. 3978-3982 - Luciana P. P. Bueno, Aluízio F. R. Araújo:
Controlling Chaos in Chaotic Bidirectional Associative Memories. 3983-3990 - Igor Beliaev, Robert Kozma:
Studies on the Memory Capacity and Robustness of Chaotic Dynamic Neural Networks. 3991-3998 - Guang-Hong Wang, Ping Jiang:
Tristability in Model Neurons. 3999-4004
Neural Networks for Intelligent Multimedia Processing
- Rafael Álvarez, Jose Noguera, Leandro Tortosa, Antonio Zamora:
GNG3D - A Software Tool for Mesh Optimization Based on Neural Networks. 4005-4012 - Zhiwen Yu, Hau-San Wong:
Approximate query processing for efficient content-based image retrieval based on a hierarchical SOM. 4013-4020 - Youshen Xia, Mohamed S. Kamel:
A Novel Cooperative Neural Learning Algorithm for Data Fusion. 4021-4028 - Spiros Ioannou, Manolis Wallace, Stefanos D. Kollias:
Intelligent Facial Analysis and Expression Recognition. 4029-4036 - Anastasios D. Doulamis, Georgios Tziritas:
Content-based Video Adaptation in Low/Variable Bandwidth Communication Networks Using Adaptable Neural Network Structures. 4037-4044 - Liang Chen, Naoyuki Tokuda, Akira Nagai, Xiaoyu Chen:
Is High Resolution Representation More Effective for Content Based Image Classification? 4045-4050
Hybrid Neural Intelligent Systems I
- Javier Vega-Pineda, Mario Ignacio Chacon Murguia, Roberto Camarillo-Cisneros:
Synthesis of Pulsed-Coupled Neural Networks in FPGAs for Real-Time Image Segmentation. 4051-4055 - Hironobu Takano, Hiroki Kobayashi, Kiyomi Nakamura:
Iris Recognition Independent of Rotation and Ambient Lighting Variations. 4056-4062 - Naoyuki Kubota, Toshiyuki Shimizu:
Modular Fuzzy Neural Networks for Imitative Learning of A Partner Robot. 4063-4070 - Patricia Melin, Olivia Mendoza, Miguel Soto, Maribel Gutierez, Daniel Solano:
An Intelligent System for Pattern Recognition and Time Series Prediction using Modular Neural Networks. 4071-4077 - Pilar Gómez-Gil, Manuel Ramírez-Cortés:
Experiments with a Hybrid-Complex Neural Networks for Long Term Prediction of Electrocardiograms. 4078-4083 - Parviz Palangpour, Ganesh K. Venayagamoorthy, Kevin Duffy:
Recurrent Neural Network Based Predictions of Elephant Migration in a South African Game Reserve. 4084-4088
Neural Network Applications I
- Scott Dick, Aina Sadia:
Fuzzy Clustering of Open-Source Software Quality Data: A Case Study of Mozilla. 4089-4096 - Kiyomi Nakamura, Hironobu Takano:
Rotation and Size Independent Face Recognition by the Spreading Associative Neural Network. 4097-4103 - Jesús Fraile-Ardanuy, Ignacio Sarasua Moreno, Juan Ignacio Perez Diaz, Jose Roman Wilhelmi Ayza, Jesus Fraile-Mora:
Speed Optimisation Module of a Hydraulic Francis turbine based on Artificial Neural Networks. Application to the Dynamic Analysis and Control of an Adjustable Speed Hydro Plant. 4104-4110 - William Becker, Xinghuo Yu, Jiyuan Tu, Eric Lee:
Single compartment fire risk analysis using a fuzzy neural network. 4111-4117 - Habtom W. Ressom, Kevin Turner, Mohamad T. Musavi:
Estimation of Ocean Water Chlorophyll-a Concentration Using Fuzzy C-means Clustering and Artificial Neural Networks. 4118-4125 - Amir Keyhanipour, Behzad Moshiri, Maryam Piroozmand, Caro Lucas:
WebFusion: Fundamentals and Principals of a Novel Meta Search Engine. 4126-4131
Unsupervised Learning II
- Nicolas Saunier, Tarek Sayed:
Clustering Vehicle Trajectories with Hidden Markov Models Application to Automated Traffic Safety Analysis. 4132-4138 - Jinwen Ma:
Automated Model Selection (AMS) on Finite Mixtures: A Theoretical Analysis. 4139-4145 - Jiming Peng, Jiaping Zhu:
Refining Spherical K-Means for Clustering Documents. 4146-4150 - Zhimin Wang, Qing Song, Yeng Chai Soh, XuLei Yang, Kang Sim:
Adaptive Spatial Information Clustering for Image Segmentation. 4151-4158 - A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James R. Kozloski:
An optimization approach to achieve unsupervised segmentation and binding in a dynamical network. 4159-4166 - Aapo Hyvärinen, Jukka Perkiö:
Learning to Segment Any Random Vector. 4167-4172
Robotics
- Shouyi Wang, Jelmer Braaksma, Robert Babuska, Daan G. E. Hobbelen:
Reinforcement Learning Control for Biped Robot Walking on Uneven Surfaces. 4173-4178 - Jian-Xin Xu, Wei Wang, Prahlad Vadakkepat, Low Wai Yee:
ANN Based Internal Model Approach to Motor Learning for Humanoid Robot. 4179-4186 - Zeng-Guang Hou, Long Cheng, Min Tan:
Coordination of Two Redundant Robots Using a Dual Neural Network. 4187-4192 - Xin Chen, Yangmin Li:
Cooperative Transportation by Multiple Mobile Manipulators using Adaptive NN Control. 4193-4200 - Alex Leng Phuan Tay:
Biologically Inspired KFLANN Place Fields for Robot Localization. 4201-4208 - Horst-Michael Gross, Jan Richarz, Steffen Müller, Andrea Scheidig, Christian Martin:
Probabilistic Multi-modal People Tracker and Monocular Pointing Pose Estimator for Visual Instruction of Mobile Robot Assistants. 4209-4217
Machine Learning with Neurodynamics, Chaos & Spiking Neurons
- Alejandro Cruz Sandoval, Wen Yu, Xiaoou Li:
Some stability properties of dynamic neural networks with different time-scales. 4218-4224 - Carlos Lourenço:
A Very Small Chaotic Neural Net. 4225-4228 - Yoko Uwate, Yoshifumi Nishio:
Complex Phase Synchronization in an Array of Oscillators Coupled by Time-Varying Resistor. 4229-4234 - Alexei V. Ivanov, Alexander A. Petrovsky:
Markov Coding Strategy of the Simple Spiking Model of Auditory Neuron. 4235-4242 - David Norton, Dan Ventura:
Preparing More Effective Liquid State Machines Using Hebbian Learning. 4243-4248 - Yoko Uwate, Yoshifumi Nishio, Ruedi Stoop:
Durability of Affordable Neural Networks against Damages. 4249-4254
Biologically Inspired Computational Vision I
- Sanjeeva Balasuriya, Paul Siebert:
An Architecture for Object-based Saccade Generation using a Biologically Inspired Self-organised Retina. 4255-4261 - Faraz Siddiqui, Khan M. Iftekharuddin:
Multiresolution Object Recognition Using Dual Heuristic Programming. 4262-4268 - Heejin Lim, Yoonsuck Choe:
Delay Compensation Through Facilitating Synapses and STDP: A Neural Basis for Orientation Flash-Lag Effect. 4269-4276 - Alex Xuejie Zhang, Alex Leng Phuan Tay:
Vergence Control of 2 DOF Pan-Tilt Binocular Cameras using a Log-Polar Representation of the Visual Cortex. 4277-4283 - Eduardo Bayro-Corrochano, David Israel Gonzalez-Aguirre:
The spherical retina a conformal geometric algebra model for human like vision. 4284-4291 - Woong-Jae Won, Sang-Woo Ban, Jaekyoung Moon, Minho Lee:
Biologically Motivated Face Selective Attention System. 4292-4298
Computational Intelligence in Earth & Environmental Sciences I
- Vladimir M. Krasnopolsky, Carlos J. Lozano, Deanna Spindler, Ilya Rivin, Desiraju B. Rao:
Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model. 4299-4301 - Leo Pape, B. Gerben Ruessink, Marco A. Wiering, Ian L. Turner:
Neural Network Modelin of Nearshore Sandbar Behavior. 4302-4309 - B. Gerben Ruessink, Giovanni Coco, Rosh Ranasinghe, Ian L. Turner:
A cross-wavelet study of alongshore nonuniform nearshore sandbar behavior. 4310-4317 - B. Gerben Ruessink:
Application of Markov Chain simulation for model calibration. 4318-4325 - Helmut Schiller:
Model Inversion by Parameter Fit Using NN Emulating the Forward Model - Evaluation of Indirect Measurements. 4326-4329 - James Nga-Kwok Liu, Bo Feng, Meng Wang, Weidong Luo:
Tropical Cyclone Forecast using Angle Features and Time Warping. 4330-4337
Hybrid Neural Intelligent Systems II
- José Antonio Ruz Hernández, Edgar N. Sánchez, Dionisio A. Suarez:
Designing an Associative Memory via Optimal Training for Fault Diagnosis. 4338-4345 - Refugio Vallejo:
Spherical Neural Networks and some applications. 4346-4349 - Rodrigo Calvo, Roseli A. Francelin Romero:
A Hierarchical Self-Organizing Controller for Navigation of Mobile Robots. 4350-4356 - Alejandro Flores-Méndez, Eduardo Gómez-Ramírez:
Forecasting Time Series with a New Architecture for Polynomial Artificial Neural Network. 4357-4362 - Patricia Melin, Jérica Urías, Jassiny Quintero, Martha Ramirez, Omar Blanchet:
Forecasting Economic Time Series Using Modular Neural Networks and the Fuzzy Sugeno Integral as Response Integration Method. 4363-4368
Neural Network Applications II
- Daewon Lee, Jaewook Lee:
Support Vector Classifier Using Basin-Based Sampling for Security Assessment of Nonlinear Power and Control Systems. 4369-4374 - Caterina Melchiorre, Matteo Matteucci, Juan Remondo:
Artificial Neural Networks and Robustness Analysis in Landslide Susceptibility Zonation. 4375-4381 - Noriaki Sakamoto, Kazuhiro Ozawa, Takahide Niimura:
Grid Computing Solutions for Artificial Neural Network-based Electricity Market Forecasts. 4382-4386 - Tung-Kuang Wu:
Identifying and Diagnosing Students with Learning Disabilities using ANN and SVM. 4387-4394 - Jun Miao, Xilin Chen, Wen Gao, Yiqiang Chen:
A Visual Perceiving and Eyeball-Motion Controlling Neural Network for Object Searching and Locating. 4395-4400 - Johnny Fu, Xiao-Hua Yu:
Rotorcraft Acoustic Noise Estimation and Outlier Detection. 4401-4405
Applications of Unsupervised Methods
- Guojun Gan, Jianhong Wu, Zijiang Yang:
PARTCAT: A Subspace Clustering Algorithm for High Dimensional Categorical Data. 4406-4412 - Bryan D. Thompson, Jered Cartmill, Mahmood R. Azimi-Sadjadi, Steven G. Schock:
A Multichannel Canonical Correlation Analysis Feature Extraction with Application to Buried Underwater Target Classification. 4413-4420 - Márcio Leandro Gonçalves, Márcio Luiz De Andrade Netto, José Alfredo Ferreira Costa, Jurandir Zullo Jr.:
Data Clustering using Self-Organizing Maps segmented by Mathematic Morphology and Simplified Cluster Validity Indexes: an application in remotely sensed images. 4421-4428 - Jagdish Chandra Patra, Ee Luang Ang, Pramod Kumar Meher, Qin Zhen:
A New SOM-based Visualization Technique for DNA Microarray Data. 4429-4434 - Yunqian Ma, Jiri Rojicek, Zdenek Beran, Jaromír Kukal, Mike Bazakos:
Knowledge-Based Multi-Spectral Pixel Level Fusion for Surveillance. 4435-4440
Intelligent Control Theory
- Akira Hirose, Yasufumi Asano, Toshihiko Hamano:
Developmental Learning Based on Coherent Neural Networks with Behavioral Mode Tuning by Carrier-Frequency Modulation. 4441-4448 - Stephen C. Stubberud:
System Identification using the Neural-Extended Kalman Filter for Control Modification. 4449-4455 - C. J. B. Macnab:
Direct Neural-Adaptive Control with Quantifiable Bounds and Improved Performance. 4456-4462 - Hiroaki Nakanishi, Koichi Inoue:
Order Formation in Learning Nonlinear Robust Control Systems by Use of Neural Networks. 4463-4467 - Erick Vile Grinits, Celso Pascoli Bottura:
Adaptive Neural-Based Backstepping Control of Uncertain MIMO Nonlinear Systems. 4468-4475 - Selvaraj Gopinath, Indra Narayan Kar, R. K. P. Bhatt:
Associated Hermite series based Iterative Learning Control with Experience inclusion using Local Learning Approach. 4476-4483
Applications of Dynamics & Spiking Neurons
- Rita Fuentes, Alejandro García-González, Agustin Cabrera, Tatyana Poznyak, Isaac Chairez:
Switching Learning Law for Differential Neural Observer for Biodegradation Process. 4484-4490 - Amir Massoud Farahmand, Mohammad Javad Yazdanpanah:
Channel Assignment using Chaotic Simulated Annealing Enhanced Hopfield Neural Network. 4491-4497 - Vincent Scesa, Patrick Henaff, Fathi Ben Ouezdou, Faycal Namoun:
On the Analysis of Sigmoid Time Parameters for Dynamic Truncated BPTT Algorithm. 4498-4505 - Emílio Del Moral Hernandez:
Chaotic Searches and Stable Spatio-temporal Patterns as a Naturally Emergent Mixture in Networks of Spiking Neural Oscillators with Rich Dynamics. 4506-4513 - Mario Ventresca, Beatrice M. Ombuki-Berman:
Search Space Analysis of Recurrent Spiking and Continuous-time Neural Networks. 4514-4521 - Xiaolin Hu, Jun Wang:
A Recurrent Neural Network for Solving Nonconvex Optimization Problems. 4522-4528
Biologically Inspired Computational Vision II
- Eugene Grichuk, Margarita Kuzmina, Edward A. Manykin:
Oscillatory Network for Synchronization-Based Adaptive Image Segmentation. 4529-4534 - Hadi Fatemi Shariatpanahi, Nematollah Batmanghelich, Amir R. M. Kermani, Majid Nili Ahmadabadi, Hamid Soltanian-Zadeh:
Distributed Behavior-based Multi-agent System for Automatic Segmentation of Brain MR Images. 4535-4542 - Sirisha S. Karri, Albert H. Titus:
Dual Analog Focal Plane Sensors for Depth Perception. 4543-4548 - Jarmo Ilonen, Joni-Kristian Kamarainen:
Object categorization using self-organization over visual appearance. 4549-4553 - Li Yang, Marwan A. Jabri:
A Biologically Inspired Shape Representation Model Based on Part Decomposition. 4554-4561 - Adrien Wohrer, Pierre Kornprobst, Thierry Viéville:
From Light to Spikes: a Large-Scale Retina Simulator. 4562-4570
Computational Intelligence in Earth & Environmental Sciences II
- Michael S. Fox-Rabinovitz, Vladimir M. Krasnopolsky, Alexei A. Belochitski:
Ensemble of Neural Network Emulations for Climate Model Physics: The Impact on Climate Simulations. 4571-4576 - Daeho Cha, Michael Blumenstein, Hong Zhang, Dong-Sheng Jeng:
Improvement of an Artificial Neural Network Model using Min-Max Preprocessing for the Prediction of Wave-induced Seabed Liquefaction. 4577-4581 - William W. Hsieh:
Nonlinear principal component analysis of noisy data. 4582-4586 - Vladimir M. Krasnopolsky:
Reducing Uncertainties in Neural Network Jacobians and Improving Accuracy of Neural Network Emulations with NN Ensemble Approaches. 4587-4594 - Alex J. Cannon:
A Hybrid Neural Network/Analog Model for Climate Downscaling. 4595-4600 - Pei-Fang Wang, Stephen Lieberman, Liyen Ho:
Unsupervised Learning Neural Network for Classification of Ship-Hull Fouling Conditions. 4601-4604
Neural Network Models & Applications in Neuroscience & Neuro-Genetics
- Alexandru G. Floares, Angela Jakary, Aaron Bornstein, Raymond Deicken:
Neural Networks and Classification & Regression Trees Are Able to Distinguish Female with Major Depression from Healhy Controls Using Neuroimaging Data. 4605-4611 - Kirmene Marzouki, Takeshi Yamakawa:
Exploring Standard Self-Organizing Map Internal Structure in the Learning. 4612-4619 - William Neil Howell:
Genetic specification of recurrent neural networks: Initial thoughts. 4620-4629 - Jean-Philippe Thivierge, Gary F. Marcus:
Computational Developmental Neuroscience: Exploring the Interactions Between Genetics and Neural Activity. 4630-4637 - Lubica Benuskova, Simei Gomes Wysoski, Nikola K. Kasabov:
Computational Neurogenetic Modeling: A Methodology to Study Gene Interactions Underlying Neural Oscillations. 4638-4644
Brain-Computer Interfaces
- Zhonglin Lin, Changshui Zhang, Xiaorong Gao:
Machine Learning Way for Boosting Accuracy in Canonical Correlation Analysis based Frequency Recognition. 4645-4649 - Tian Lan, Deniz Erdogmus, Misha Pavel, Santosh Mathan:
Automatic Frequency Bands Segmentation Using Statistical Similarity for Power Spectrum Density Based Brain Computer Interfaces. 4650-4655 - Sang Han Choi, Minho Lee:
Brain Computer Interface using EEG Sensors Based on an fMRI Experiment. 4656-4663 - Kyuwan Choi, Makoto Sato, Yasuharu Koike:
A new, human-centered wheelchair system controlled by the EMG signal. 4664-4671 - Kenji Tanaka, Takio Kurita, Friedrich Meyer, Luc Berthouze, Tohru Kawabe:
Stepwise Feature Selection by Cross Validation for EEG-based Brain Computer Interface. 4672-4677 - Jack DiGiovanna, Justin C. Sanchez, B. J. Fregly, José C. Príncipe:
Arm Motion Reconstruction via Feature Clustering in Joint Angle Space. 4678-4683
Intelligent Control Applications I
- Kenji Takao, Toru Yamamoto, Takao Hinamoto:
A Design of PID Controllers with a Switching Structure by a Support Vector Machine. 4684-4689 - Jianchuan Yin, Fang Dong, Nini Wang:
A Novel Sequential Learning Algorithm for RBF Networks and Its Application to Ship Predictive Control. 4690-4696 - Rigoberto Toxqui, Wen Yu, Xiaoou Li:
Anti-swing control for overhead crane with neural compensation. 4697-4703 - Milton Roberto Heinen, Fernando Santos Osório, Farlei J. Heinen, Christian Kelber:
SEVA3D: Using Arti cial Neural Networks to Autonomous Vehicle Parking Control. 4704-4711 - Farzaneh Abdollahi, Heidar A. Talebi, Rajnikant V. Patel:
On Stability of Nonlinear Observers Based on Neural Networks. 4712-4718
Feature Selection, Extraction & Aggregation I
- Dipti Deodhare, M. Vidyasagar, M. Narasimha Murty:
Bimodal Projection-based Features for Pattern Classification. 4719-4726 - Nick J. Pizzi:
A Computational Intelligence Strategy for Software Complexity Prediction. 4727-4733 - Kari Torkkola, Mike Gardner, Christopher Schreiner, Keshu Zhang, Bob Leivian, John Summers:
Sensor Selection for Driving State Recognition. 4734-4739 - Wilfredo Jaime Puma Villanueva, Euripedes P. dos Santos, Fernando J. Von Zuben:
Data partition and variable selection for time series prediction using wrappers. 4740-4747 - Lars Backstrom, Rich Caruana:
C2FS: An Algorithm for Feature Selection in Cascade Neural Networks. 4748-4753 - Ashwin Tamilarasan, Srinivas Mukkamala, Andrew H. Sung, Krishna Yendrapalli:
Feature Ranking and Selection for Intrusion Detection Using Artificial Neural Networks and Statistical Methods. 4754-4761
Supervised Learning in Feedforward Neural Networks
- Eiji Mizutani, Stuart Dreyfus:
On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning. 4762-4769 - Haikun Wei, Shun-ichi Amari:
Online Learning Dynamics of Radial Basis Function Neural Networks near the Singularity. 4770-4776 - Mario Ventresca, Hamid R. Tizhoosh:
Improving the Convergence of Backpropagation by Opposite Transfer Functions. 4777-4784 - Takafumi Sasakawa, Jinglu Hu, Katsunori Isono, Kotaro Hirasawa:
Effective Training Methods for Function Localization Neural Networks. 4785-4790 - Leonardo Franco, José Luis Subirats, Martin Anthony, José M. Jerez:
A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions. 4791-4796 - Daqi Gao, Li Hao, Chen Wei:
A Mixed Parallel Perceptron Classifier and Several Application problems. 4797-4802
Evolutionary Neural Networks
- John A. Bullinaria:
Ensemble Techniques for Avoiding Poor Performance in Evolved Neural Networks. 4803-4810 - Toshiyuki Kondo, Koji Ito:
A Neuromodulatory Neural Networks Model for Environmental Cognition and Motor Adaptation. 4811-4816 - Lewis Eric Hibell, Honghai Liu, David J. Brown:
Combining Multi-Frame Images for Enhancement Using Self-Delaying Dynamic Networks. 4817-4824 - Chun-Ling Lin, Sheng-Ta Hsieh, Tsung-Ying Sun, Chan-Cheng Liu:
Cluster Distance Factor Searching by Particle Swarm Optimization for Self-Growing Radial Basis Function Neural Network. 4825-4830 - Pablo A. D. Castro, Fernando J. Von Zuben:
Bayesian Learning of Neural Networks by Means of Artificial Immune Systems. 4831-4838 - Lars Gräning, Yaochu Jin, Bernhard Sendhoff:
Generalization Improvement in Multi-Objective Learning. 4839-4846
Computational Intelligence in Earth & Environmental Sciences III
- Dimitri P. Solomatine, Mahesh Maskey, Durga L. Shrestha:
Eager and Lazy Learning Methods in the Context of Hydrologic Forecasting. 4847-4853 - Biswanath Bhattacharya, Dimitri P. Solomatine:
Improving Empirical Models with Machine Learning. 4854-4861 - Julio J. Valdés, Alan J. Barton:
Virtual Reality Visual Data Mining via Neural Networks obtained from Multi-objective Evolutionary Optimization: Application to Geophysical Prospecting. 4862-4869 - Greer B. Kingston, Holger R. Maier, Martin F. Lambert:
Forecasting Cyanobacteria with Bayesian and Deterministic Artificial Neural Networks. 4870-4877 - Juan Pablo Lacassie, Javier Ruiz-del-Solar:
Knowledge extraction in geochemical data by using self-organizing maps. 4878-4883 - Tassilo Meindl, Walter Moniaci, Eros Pasero, Marco Riccardi:
An Embedded Hardware-Software System to Detect and Foresee Road Ice Formation. 4884-4891
Principles & Applications of Adaptive Information Modeling
- Umut Ozertem, Deniz Erdogmus:
Clustering with Normalized Information Potential Constrained Maximum Entropy Boltzmann Distribution. 4892-4897 - Robert J. May, Graeme C. Dandy, Holger R. Maier, T. M. K. Fernando:
Critical Values of a Kernel Density-based Mutual Information Estimator. 4898-4903 - Robert Jenssen, Deniz Erdogmus, José C. Príncipe:
Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm. 4904-4911 - Alexander L. Tatuzov, Nikolay I. Kurenkov:
Neural network data clustering on the basis of scale invariant entropy. 4912-4918 - Weifeng Liu, Puskal P. Pokharel, José C. Príncipe:
Correntropy: A Localized Similarity Measure. 4919-4924 - Thomas Zheng, Clark C. Guest:
Structure Analysis of a Probabilistic Network in an Information Geometric Framework. 4925-4932
Sapient Systems
- René V. Mayorga:
Sapient (Wise) Systems: Implementations, Design, and Operation. 4933-4939 - José Fernando Fontanari, Leonid I. Perlovsky:
Categorization and symbol grounding in a complex environment. 4940-4946 - Leonid I. Perlovsky:
Higher Cognitive Abilities (Toward a Physical Theory of the Mind). 4947-4953 - Kausik Kumar Majumdar, Robert Kozma:
Studies on Sparse Array Cortical Modeling and Memory Cognition Duality. 4954-4957 - Nils Goerke, Timo Henne:
Learning Hierarchical Action Selection for an Autonomous Robot. 4958-4965 - Derek Harter:
Complex Systems Approaches to Emergent Goal Formation in Cognitive Agents. 4966-4971
Intelligent Control Applications II
- Jau-Woei Perng, Bing-Fei Wu, Tsu-Tian Lee:
Limit Cycle Prediction of a Neural Vehicle Control System with Gain-Phase Margin Tester. 4972-4977 - Atmika Singh, Jonathan Blake Vance, Brian C. Kaul, Sarangapani Jagannathan, James A. Drallmeier:
Neural Network Control of Spark Ignition Engines with High EGR Levels. 4978-4985 - Chia-Feng Juang, Shui-Tien Huang, Yuan-Chang Liou:
Temperature Control of a Rubber Shoot Shaping Machine by Recurrent Neural Fuzzy Controller. 4986-4990 - Hayssam J. Serhan, Chaiban G. Nasr, Patrick Henaff:
Designing a Muscle like System Based on PID Controller and Tuned by Neural Network. 4991-4998 - Ying Wang, Clarence W. de Silva:
Extend Single-agent Reinforcement Learning Approach to a Multi-robot Cooperative Task in an Unknown Dynamic Environment. 4999-5005 - Chih-Lyang Hwang:
Multivariable Adaptive Control of Nonlinear Unknown Dynamic Systems Using Recurrent Neural-Network. 5006-5011
Feature Selection, Extraction & Aggregation II
- Milton Roberto Heinen, Fernando Santos Osório:
Handwritten Signature Authentication using Artificial Neural Networks. 5012-5019 - Johannes Mohr, Imke Puls, Jana Wrase, Sepp Hochreiter, Andreas Heinz, Klaus Obermayer:
P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data. 5020-5027 - Shutao Li, Chen Liao, James T. Kwok:
Wavelet-Based Feature Extraction for Microarray Data Classification. 5028-5033 - Tian Lan, Deniz Erdogmus, Umut Ozertem, Yonghong Huang:
Estimating Mutual Information Using Gaussian Mixture Model for Feature Ranking and Selection. 5034-5039 - Cesare Alippi, Manuel Roveri:
A computational intelligence-based criterion to detect non-stationarity trends. 5040-5044 - Shiro Usui, Paulito P. Palmes, Kazunori Nagata, Tatsuki Taniguchi, Naonori Ueda:
Extracting Keywords from Research Abstracts for the Neuroinformatics Platform Index Tree. 5045-5050
Feedforward Neural Networks
- Philip T. Elliott, Diven Topiwala, Will N. Browne:
Training Reformulated Product Units in Hybrid Neural Networks. 5051-5058 - Vassilios Petridis, Stavros Petridis:
Construction of Neural Network Based Lyapunov Functions. 5059-5065 - Ralf Eickhoff, Ulrich Rückert:
Enhancing Fault Tolerance of Radial Basis Functions. 5066-5073 - Donald F. Specht:
GRNN with Double Clustering. 5074-5079 - Richard Neville, Liping Zhao:
Inheritance of Information in ANNs and Equivalence Relations. 5080-5087 - Raveesh Kiran, Sandhya R. Jetti, Ganesh K. Venayagamoorthy:
Online Training of a Generalized Neuron with Particle Swarm Optimization. 5088-5095
Computational Intelligence in Earth & Environmental Sciences IV
- Sue Ellen Haupt, Christopher T. Allen, George S. Young:
A Genetic Algorithm Method for Sensor Data Assimilation and Source Characterization. 5096-5103 - Dimitri P. Solomatine, Gerald Corzo:
Learning hydrologic flow separation algorithm and local ANN committee modeling. 5104-5109 - Alexander Ilin, Harri Valpola, Erkki Oja:
Extraction of Components with Structured Variance. 5110-5117 - Gordon Wichern, Mahmood R. Azimi-Sadjadi, Michael Mungiole:
An Environmentally Adaptive System for Rapid Acoustic Transmission Loss Prediction. 5118-5125 - Reinhard Teschl, Walter L. Randeu, Franz Teschl:
Weather Radar Estimates of Rainfall Adjusted to Rain Gauge Measurements Using Neural Networks. 5126-5131
Ensemble & Diversity
- Guilherme Palermo Coelho, Fernando J. Von Zuben:
The Influence of the Pool of Candidates on the Performance of Selection and Combination Techniques in Ensembles. 5132-5139 - Graeme Richards, Wenjia Wang:
Investigations on the Characteristics of Random Decision Tree Ensembles. 5140-5147 - Jared Sylvester, Nitesh V. Chawla:
Evolutionary Ensemble Creation and Thinning. 5148-5155 - Florian Hoppe, Gerald Sommer:
Ensemble Learning for Hierarchies of Locally Arranged Models. 5156-5163 - Qiang Ye, Paul W. Munro:
Improving a Neural Network Classifier Ensemble with Multi-Task Learning. 5164-5170 - Pitoyo Hartono, Shuji Hashimoto:
Analysis of the Performance of Ensemble of Perceptrons. 5171-5176
Cellular Sensory Wave Computers
- Stephan Stilkerich:
On the Hardware-Relevant Simulation of Regular Two-Dimensional CNN Processing Grids. 5177-5184 - Frank Gollas, Ronald Tetzlaff:
Identification of EEG signals in epilepsy by cell outputs of Reaction-Diffusion Networks. 5185-5188 - Chao-Hui Huang, Heinz Koeppl, Chin-Teng Lin:
A Bio-inspired Computer Fovea Model based on Hexagonal-type Cellular Neural Networks. 5189-5195 - Heinz Koeppl:
Information Rate Maximization over a Resistive Grid. 5196-5203 - Stanley Y. M. Lam, Eric K. C. Tsang, Yicong Meng, Bertram Emil Shi:
Neuromorphic Translational Ego-motion Estimation using Log-Polar Motion Energy. 5204-5211
Autonomous Mental Development
- Alexander L. Tatuzov:
Neural network models for teaching multiplication table in primary school. 5212-5217 - Frederick Shic, Brian Scassellati:
How Not to Evaluate a Developmental System. 5218-5225 - Marek W. Doniec, Ganghua Sun, Brian Scassellati:
A Demonstration of the Efficiency of Developmental Learning. 5226-5232 - Juyang Weng, Hong Lu, Tianyu Luwang, Xiangyang Xue:
In-Place Learning for Positional and Scale Invariance. 5233-5242 - Yasuo Kinouchi, Katsumasa Masuda, Shoji Inabayashi:
An Architecture for an Adaptive System with Primitive Concept Formation and Consciousness. 5243-5250 - George G. Lendaris:
Experience-Based Identification and Control via Higher-Level Learning and Context Discernment. 5251-5258
Hybrid Intelligent Systems
- Hongyu Guo, Herna L. Viktor:
Multi-view ANNs for Multi-relational Classification. 5259-5266 - Cleber Zanchettin, Teresa Bernarda Ludermir:
A methodology to train and improve artificial neural networks' weights and connections. 5267-5274 - Taner Arsan, Arif Selçuk Ögrenci, Tuncay Saydam:
A Systems Software Architecture for Training Neural, Fuzzy Neural and Genetic Computational Intelligent Networks. 5275-5280 - Yen-Ping Chen, Jeen-Shing Wang:
A Novel Nonlinear Dynamical System Control Using Linear Controllers with Nonlinearity Eliminators. 5281-5288 - Yaw-Jen Chang, Yuan Kang, Chin-Liang Hsu, Chi-Tim Chang, Tat Yan Chan:
Virtual Metrology Technique for Semiconductor Manufacturing. 5289-5293 - Yuji Matsumura, Minoru Fukumi, Yasue Mitsukura:
Hybrid EMG Recognition System by MDA and PCA. 5294-5300
Machine Learning with Feedforward Neural Networks
- Ramon Miranda, Nadezhda Aguilar, Agustin Cabrera, Isaac Chairez:
Hepatitis C Dynamics' Estimation Process by Differential Neural Networks. 5301-5307 - Yanfeng Hou, Jacek M. Zurada, Waldemar Karwowski, William S. Marras:
Identification of Low Back Injury from EMG Signals using a Neural Network Model. 5308-5315 - Nadezhda Aguilar, Agustin Cabrera, Isaac Chairez:
Neuro Tracking Control for Immunotherapy Cancer Treatment. 5316-5323 - Udo Seiffert:
Training of Large-Scale Feed-Forward Neural Networks. 5324-5329 - Brijesh K. Verma:
A Neural Learning Algorithm for the Diagnosis of Breast Cancer. 5330-5335 - Fok Hing Chi Tivive, Abdesselam Bouzerdoum:
A Gender Recognition System using Shunting Inhibitory Convolutional Neural Networks. 5336-5341
Predictive Uncertainty in Environmental Modelling
- Markus Harva:
A Variational EM Approach to Predicting Uncertainty in Supervised Learning. 5342-5346 - Gavin C. Cawley, Malcolm R. Haylock, Stephen R. Dorling:
Predictive Uncertainty in Environmental Modelling. 5347-5354 - Anthony J. Bagnall, Ian M. Whittley, Matthew Studley, Mike Pettipher, Firat Tekiner, Larry Bull:
Variance Stabilizing Regression Ensembles for Environmental Models. 5355-5361 - Shuichi Kurogi, Daisuke Kuwahara, Shinya Tanaka:
Ensemble of Competitive Associative Nets and Multiple K-fold Cross-Validation for Estimating Predictive Uncertainty in Environmental Modelling. 5362-5366 - Wolfgang Fink:
Generic Prioritization Framework for Target Selection and Instrument Usage for Reconnaissance Mission Autonomy. 5367-5370 - Armando Pelliccioni, Tiziano Tirabassi, Sabrina Bellantone, Claudio Gariazzo:
Deterministic models and Neural Nets: a successful methodology for the air dispersion models. 5371-5376
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