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ORCID28th AAAI 2014: Québec City, Québec, Canada
- Carla E. Brodley, Peter Stone:
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Québec City, Québec, Canada. AAAI Press 2014, ISBN 978-1-57735-661-5
Main Track: AI and the Web
- Yang Bao, Hui Fang, Jie Zhang:
TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation. 2-8 - Chaochao Chen, Xiaolin Zheng, Yan Wang, Fuxing Hong, Zhen Lin:
Context-Aware Collaborative Topic Regression with Social Matrix Factorization for Recommender Systems. 9-15 - Yueguo Chen, Lexi Gao, Shuming Shi, Xiaoyong Du, Ji-Rong Wen:
Improving Context and Category Matching for Entity Search. 16-22 - Lei Cui, Ming Zhou, Qiming Chen, Dongdong Zhang, Mu Li:
Machine Translation with Real-Time Web Search. 23-29 - Hui Fang, Yang Bao, Jie Zhang:
Leveraging Decomposed Trust in Probabilistic Matrix Factorization for Effective Recommendation. 30-36 - Shanshan Feng, Xuefeng Chen, Gao Cong, Yifeng Zeng, Yeow Meng Chee, Yanping Xiang:
Influence Maximization with Novelty Decay in Social Networks. 37-43 - Christos Giatsidis, Fragkiskos D. Malliaros, Dimitrios M. Thilikos, Michalis Vazirgiannis:
CoreCluster: A Degeneracy Based Graph Clustering Framework. 44-50 - Md. Kamrul Hasan, Christopher Joseph Pal:
Experiments on Visual Information Extraction with the Faces of Wikipedia. 51-58 - Xia Hu, Jiliang Tang, Huan Liu:
Online Social Spammer Detection. 59-65 - Zhiting Hu, Junjie Yao, Bin Cui:
User Group Oriented Temporal Dynamics Exploration. 66-72 - Yu-Gang Jiang, Baohan Xu, Xiangyang Xue:
Predicting Emotions in User-Generated Videos. 73-79 - Yong-Bin Kang
, Jeff Z. Pan, Shonali Krishnaswamy, Wudhichart Sawangphol, Yuan-Fang Li:
How Long Will It Take? Accurate Prediction of Ontology Reasoning Performance. 80-86 - Freddy Lécué:
Towards Scalable Exploration of Diagnoses in an Ontology Stream. 87-93 - Sanghoon Lee, Seung-won Hwang:
ARIA: Asymmetry Resistant Instance Alignment. 94-100 - Liangda Li, Hongyuan Zha:
Learning Parametric Models for Social Infectivity in Multi-Dimensional Hawkes Processes. 101-107 - Xin Li, Yiqun Liu, Min Zhang, Shaoping Ma:
Fraudulent Support Telephone Number Identification Based on Co-Occurrence Information on the Web. 108-114 - Xiaohua Liu, Arbi Bouchoucha, Alessandro Sordoni, Jian-Yun Nie:
Compact Aspect Embedding for Diversified Query Expansions. 115-121 - Zhongqi Lu, Yin Zhu, Sinno Jialin Pan, Evan Wei Xiang, Yujing Wang, Qiang Yang:
Source Free Transfer Learning for Text Classification. 122-128 - Boris Motik, Yavor Nenov, Robert Piro, Ian Horrocks, Dan Olteanu:
Parallel Materialisation of Datalog Programs in Centralised, Main-Memory RDF Systems. 129-137 - Naoto Ohsaka, Takuya Akiba, Yuichi Yoshida, Ken-ichi Kawarabayashi:
Fast and Accurate Influence Maximization on Large Networks with Pruned Monte-Carlo Simulations. 138-144 - Zhi Qiao, Peng Zhang, Yanan Cao, Chuan Zhou, Li Guo, Binxing Fang:
Combining Heterogenous Social and Geographical Information for Event Recommendation. 145-151 - Adish Singla, Eric Horvitz, Ece Kamar, Ryen White:
Stochastic Privacy. 152-158 - Shulong Tan, Ziyu Guan, Deng Cai, Xuzhen Qin, Jiajun Bu, Chun Chen:
Mapping Users across Networks by Manifold Alignment on Hypergraph. 159-165 - Niket Tandon, Gerard de Melo, Gerhard Weikum:
Acquiring Comparative Commonsense Knowledge from the Web. 166-172 - Beidou Wang, Martin Ester, Jiajun Bu, Deng Cai:
Who Also Likes It? Generating the Most Persuasive Social Explanations in Recommender Systems. 173-179 - Zhigang Wang, Juanzi Li, Shuangjie Li, Mingyang Li, Jie Tang, Kuo Zhang, Kun Zhang:
Cross-Lingual Knowledge Validation Based Taxonomy Derivation from Heterogeneous Online Wikis. 180-186 - Shiyang Wen, Xiaojun Wan:
Emotion Classification in Microblog Texts Using Class Sequential Rules. 187-193 - Ou Wu, Ruiguang Hu, Xue Mao, Weiming Hu:
Quality-Based Learning for Web Data Classification. 194-200 - Wenxuan Xie, Yuxin Peng, Jianguo Xiao:
Cross-View Feature Learning for Scalable Social Image Analysis. 201-207 - Jae-Bong Yoo, Jihie Kim:
Capturing Difficulty Expressions in Student Online Q&A Discussions. 208-214 - Hongliang Yu, Zhi-Hong Deng, Yunlun Yang, Tao Xiong:
A Joint Optimization Model for Image Summarization Based on Image Content and Tags. 215-221 - Ting Yuan, Jian Cheng, Xi Zhang, Shuang Qiu, Hanqing Lu:
Recommendation by Mining Multiple User Behaviors with Group Sparsity. 222-228 - Jun Zhang, Chaokun Wang, Jianmin Wang:
Learning Temporal Dynamics of Behavior Propagation in Social Networks. 229-236 - Xiaoming Zheng, Yan Wang, Mehmet A. Orgun, Youliang Zhong, Guanfeng Liu:
Trust Prediction with Propagation and Similarity Regularization. 237-244
Main Track: Applications
- Chris Alvin, Sumit Gulwani, Rupak Majumdar, Supratik Mukhopadhyay:
Synthesis of Geometry Proof Problems. 245-252 - Michael Anderson, Susan Leigh Anderson:
GenEth: A General Ethical Dilemma Analyzer. 253-261 - Bartosz Boguslawski, Vincent Gripon, Fabrice Seguin, Frédéric Heitzmann:
Huffman Coding for Storing Non-Uniformly Distributed Messages in Networks of Neural Cliques. 262-268 - Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan:
Where and Why Users "Check In". 269-275 - William Herlands, Ricky Der, Yoel Greenberg, Simon A. Levin:
A Machine Learning Approach to Musically Meaningful Homogeneous Style Classification. 276-282 - Mohammad Raza, Sumit Gulwani, Natasa Milic-Frayling:
Programming by Example Using Least General Generalizations. 283-290 - Hua-Wei Shen, Dashun Wang, Chaoming Song, Albert-László Barabási:
Modeling and Predicting Popularity Dynamics via Reinforced Poisson Processes. 291-297 - Michael David Taylor:
Joule Counting Correction for Electric Vehicles Using Artificial Neural Networks. 298-305 - Yang Yang, Jia Jia, Shumei Zhang, Boya Wu, Qicong Chen, Juanzi Li, Chunxiao Xing, Jie Tang:
How Do Your Friends on Social Media Disclose Your Emotions? 306-312 - Yang Yang, Walter Luyten, Lu Liu, Marie-Francine Moens, Jie Tang, Juanzi Li:
Forecasting Potential Diabetes Complications. 313-319 - Feng Zhang, Victor E. Lee, Ruoming Jin:
k-CoRating: Filling Up Data to Obtain Privacy and Utility. 320-328
Main Track: Cognitive Modeling
- Hyungil Ahn, Rosalind W. Picard:
Modeling Subjective Experience-Based Learning under Uncertainty and Frames. 329-335 - Celso M. de Melo, Jonathan Gratch, Peter J. Carnevale:
The Importance of Cognition and Affect for Artificially Intelligent Decision Makers. 336-342 - Leif Johnson, Dana H. Ballard:
Efficient Codes for Inverse Dynamics During Walking. 343-349 - Josefina Sierra-Santibáñez:
An Agent-Based Model Studying the Acquisition of a Language System of Logical Constructions. 350-358
Main Track: Cognitive Systems
- Vinay K. Chaudhri, Stijn Heymans, Adam Overholtzer, Aaron Spaulding, Michael A. Wessel:
Large-Scale Analogical Reasoning. 359-365 - Suren Kumar, Vikas Dhiman, Jason J. Corso:
Learning Compositional Sparse Models of Bimodal Percepts. 366-372 - Clifton James McFate, Kenneth D. Forbus, Thomas R. Hinrichs:
Using Narrative Function to Extract Qualitative Information from Natural Language Texts. 373-379 - Keith McGreggor, Ashok K. Goel:
Confident Reasoning on Raven's Progressive Matrices Tests. 380-386 - Shiwali Mohan, John E. Laird:
Learning Goal-Oriented Hierarchical Tasks from Situated Interactive Instruction. 387-394 - Matthew Molineaux, David W. Aha:
Learning Unknown Event Models. 395-401 - Chris Pearce, Ben Leon Meadows, Pat Langley, Mike Barley:
Social Planning: Achieving Goals by Altering Others' Mental States. 402-409
Main Track: Computational Sustainability and AI
- James H. Faghmous, Hung Nguyen, Matthew Le, Vipin Kumar:
Spatio-Temporal Consistency as a Means to Identify Unlabeled Objects in a Continuous Data Field. 410-416 - Stefan Funke, André Nusser, Sabine Storandt:
Placement of Loading Stations for Electric Vehicles: No Detours Necessary! 417-423 - Arnaud Jutzeler, Jason Jingshi Li, Boi Faltings:
A Region-Based Model for Estimating Urban Air Pollution. 424-430 - Liang Lan, Vuk Malbasa, Slobodan Vucetic:
Spatial Scan for Disease Mapping on a Mobile Population. 431-437 - Ronan Le Bras, Richard Bernstein, John M. Gregoire, Santosh K. Suram, Carla P. Gomes, Bart Selman, R. Bruce van Dover:
Challenges in Materials Discovery - Synthetic Generator and Real Datasets. 438-443 - Abraham Othman:
Supervised Scoring with Monotone Multidimensional Splines. 444-450 - Valentin Robu, Meritxell Vinyals, Alex Rogers, Nicholas R. Jennings:
Efficient Buyer Groups for Prediction-of-Use Electricity Tariffs. 451-457 - Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki:
Intelligent System for Urban Emergency Management during Large-Scale Disaster. 458-464 - Daniel Urieli, Peter Stone:
TacTex'13: A Champion Adaptive Power Trading Agent. 465-471 - Konstantina Valogianni, Wolfgang Ketter, John Collins, Dmitry Zhdanov:
Effective Management of Electric Vehicle Storage Using Smart Charging. 472-478 - XiaoJian Wu, Daniel Sheldon, Shlomo Zilberstein:
Rounded Dynamic Programming for Tree-Structured Stochastic Network Design. 479-485 - Matt Wytock, J. Zico Kolter:
Contextually Supervised Source Separation with Application to Energy Disaggregation. 486-492 - Bo Yang, Hua Guo, Yi Yang, Benyun Shi, Xiao-Nong Zhou, Jiming Liu:
Modeling and Mining Spatiotemporal Patterns of Infection Risk from Heterogeneous Data for Active Surveillance Planning. 493-499 - Jun Yu, Rebecca A. Hutchinson, Weng-Keen Wong:
A Latent Variable Model for Discovering Bird Species Commonly Misidentified by Citizen Scientists. 500-507
Main Track: Game Playing and Interactive Entertainment
- Elliot Anshelevich, Shreyas Sekar:
Approximate Equilibrium and Incentivizing Social Coordination. 508-514 - Javier Romero Davila, Abdallah Saffidine, Michael Thielscher:
Solving the Inferential Frame Problem in the General Game Description Language. 515-521 - Sigal Sina, Avi Rosenfeld, Sarit Kraus:
Generating Content for Scenario-Based Serious-Games Using CrowdSourcing. 522-529 - Alexander Zook, Mark O. Riedl:
Automatic Game Design via Mechanic Generation. 530-537
Main Track: Game Theory and Economic Paradigms
- Colleen Alkalay-Houlihan, Adrian Vetta:
False-Name Bidding and Economic Efficiency in Combinatorial Auctions. 538-544 - Haris Aziz, Florian Brandl, Felix Brandt:
On the Incompatibility of Efficiency and Strategyproofness in Randomized Social Choice. 545-551 - Haris Aziz, Serge Gaspers, Simon Mackenzie, Nicholas Mattei, Paul Stursberg, Toby Walsh:
Fixing a Balanced Knockout Tournament. 552-558 - Haris Aziz, Paul Stursberg:
A Generalization of Probabilistic Serial to Randomized Social Choice. 559-565 - Eric Balkanski, Simina Brânzei, David Kurokawa, Ariel D. Procaccia:
Simultaneous Cake Cutting. 566-572 - Avrim Blum, Nika Haghtalab, Ariel D. Procaccia:
Lazy Defenders Are Almost Optimal against Diligent Attackers. 573-579 - Felix Brandt, Markus Brill, Paul Harrenstein:
Extending Tournament Solutions. 580-586 - Simina Brânzei, Yiling Chen, Xiaotie Deng, Aris Filos-Ratsikas, Søren Kristoffer Stiil Frederiksen, Jie Zhang:
The Fisher Market Game: Equilibrium and Welfare. 587-593 - Noam Brown, Tuomas Sandholm:
Regret Transfer and Parameter Optimization. 594-601 - Neil Burch, Michael Johanson, Michael Bowling:
Solving Imperfect Information Games Using Decomposition. 602-608 - Ioannis Caragiannis, David Kurokawa, Ariel D. Procaccia:
Biased Games. 609-615 - Ioannis Caragiannis, Ariel D. Procaccia, Nisarg Shah:
Modal Ranking: A Uniquely Robust Voting Rule. 616-622 - Vincent Conitzer, Angelina Vidali:
Mechanism Design for Scheduling with Uncertain Execution Time. 623-629 - Trevor Davis, Neil Burch, Michael Bowling:
Using Response Functions to Measure Strategy Strength. 630-636 - Moez Draief, Hoda Heidari, Michael J. Kearns:
New Models for Competitive Contagion. 637-644 - Joanna Drummond, Craig Boutilier:
Preference Elicitation and Interview Minimization in Stable Matchings. 645-653 - Edith Elkind, Piotr Faliszewski, Piotr Skowron:
A Characterization of the Single-Peaked Single-Crossing Domain. 654-660 - Edith Elkind, Martin Lackner:
On Detecting Nearly Structured Preference Profiles. 661-667 - Ulle Endriss, Umberto Grandi:
Binary Aggregation by Selection of the Most Representative Voters. 668-674 - Rupert Freeman, Markus Brill, Vincent Conitzer:
On the Axiomatic Characterization of Runoff Voting Rules. 675-681 - Sam Ganzfried, Tuomas Sandholm:
Potential-Aware Imperfect-Recall Abstraction with Earth Mover's Distance in Imperfect-Information Games. 682-690 - Nicola Gatti, Marco Rocco, Sofia Ceppi, Enrico H. Gerding:
Mechanism Design for Mobile Geo-Location Advertising. 691-697 - Judy Goldsmith, Jérôme Lang, Nicholas Mattei, Patrice Perny:
Voting with Rank Dependent Scoring Rules. 698-704 - Mingyu Guo, Argyrios Deligkas, Rahul Savani:
Increasing VCG Revenue by Decreasing the Quality of Items. 705-711 - Edith Hemaspaandra, Lane A. Hemaspaandra, Henning Schnoor:
A Control Dichotomy for Pure Scoring Rules. 712-720 - Shweta Jain, Balakrishnan Narayanaswamy, Y. Narahari:
A Multiarmed Bandit Incentive Mechanism for Crowdsourcing Demand Response in Smart Grids. 721-727 - Jeremy Karp, Aleksandr M. Kazachkov, Ariel D. Procaccia:
Envy-Free Division of Sellable Goods. 728-734 - Willemien Kets, David M. Pennock, Rajiv Sethi, Nisarg Shah:
Betting Strategies, Market Selection, and the Wisdom of Crowds. 735-741 - Martin Lackner:
Incomplete Preferences in Single-Peaked Electorates. 742-748 - Evangelos Markakis, Orestis Telelis:
Item Bidding for Combinatorial Public Projects. 749-755 - Thanh Hong Nguyen, Amulya Yadav, Bo An, Milind Tambe, Craig Boutilier:
Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty. 756-762 - Ariel D. Procaccia, Nisarg Shah, Max Lee Tucker:
On the Structure of Synergies in Cooperative Games. 763-769 - Goran Radanovic, Boi Faltings:
Incentives for Truthful Information Elicitation of Continuous Signals. 770-776 - Sudip Saha, Abhijin Adiga, Anil Kumar S. Vullikanti:
Equilibria in Epidemic Containment Games. 777-783 - Martin Schmid, Matej Moravcik, Milan Hladík:
Bounding the Support Size in Extensive Form Games with Imperfect Information. 784-790 - Akihisa Sonoda, Etsushi Fujita, Taiki Todo, Makoto Yokoo:
Two Case Studies for Trading Multiple Indivisible Goods with Indifferences. 791-797 - Troels Bjerre Sørensen, Melissa Dalis, Joshua Letchford, Dmytro Korzhyk, Vincent Conitzer:
Beat the Cheater: Computing Game-Theoretic Strategies for When to Kick a Gambler out of a Casino. 798-804 - Taiki Todo, Haixin Sun, Makoto Yokoo:
Strategyproof Exchange with Multiple Private Endowments. 805-811 - Fan Wu, Junming Liu, Zhenzhe Zheng, Guihai Chen:
A Strategy-Proof Online Auction with Time Discounting Values. 812-818 - Yingce Xia, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Incentivizing High-Quality Content from Heterogeneous Users: On the Existence of Nash Equilibrium. 819-825 - Yue Yin, Bo An, Manish Jain:
Game-Theoretic Resource Allocation for Protecting Large Public Events. 826-834
Main Track: Heuristic Search and Optimization
- Fahiem Bacchus, Jessica Davies, Maria Tsimpoukelli, George Katsirelos:
Relaxation Search: A Simple Way of Managing Optional Clauses. 835-841 - André A. Ciré, Serdar Kadioglu, Meinolf Sellmann:
Parallel Restarted Search. 842-848 - Stefano Ermon, Carla P. Gomes, Ashish Sabharwal, Bart Selman:
Designing Fast Absorbing Markov Chains. 849-855 - Matthew Hatem, Wheeler Ruml:
Simpler Bounded Suboptimal Search. 856-862 - Seyed Mehran Kazemi, David Poole:
Elimination Ordering in Lifted First-Order Probabilistic Inference. 863-870 - Guni Sharon, Ariel Felner, Nathan R. Sturtevant:
Exponential Deepening A* for Real-Time Agent-Centered Search. 871-877 - Tansel Uras, Sven Koenig:
Identifying Hierarchies for Fast Optimal Search. 878-884 - Richard Anthony Valenzano, Nathan R. Sturtevant, Jonathan Schaeffer:
Worst-Case Solution Quality Analysis When Not Re-Expanding Nodes in Best-First Search. 885-892 - Weizhong Zhang, Lijun Zhang, Yao Hu, Rong Jin, Deng Cai, Xiaofei He:
Sparse Learning for Stochastic Composite Optimization. 893-900
Main Track: Human-Computation and Crowd Sourcing
- Marina Boia, Claudiu Cristian Musat, Boi Faltings:
Acquiring Commonsense Knowledge for Sentiment Analysis through Human Computation. 901-907 - Christopher H. Lin, Ece Kamar, Eric Horvitz:
Signals in the Silence: Models of Implicit Feedback in a Recommendation System for Crowdsourcing. 908-915
Main Track: Humans and AI
- Cody Buntain, Amos Azaria, Sarit Kraus:
Leveraging Fee-Based, Imperfect Advisors in Human-Agent Games of Trust. 916-922 - Avshalom Elmalech, David Sarne, Noa Agmon:
Can Agent Development Affect Developer's Strategy? 923-929 - Chen Hajaj, Noam Hazon, David Sarne:
Ordering Effects and Belief Adjustment in the Use of Comparison Shopping Agents. 930-936 - Robert Tyler Loftin, James MacGlashan, Bei Peng, Matthew E. Taylor, Michael L. Littman, Jeff Huang, David L. Roberts:
A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback. 937-943 - Brian O'Neill, Mark O. Riedl:
Dramatis: A Computational Model of Suspense. 944-950 - Jie Wu, Changhu Wang, Liqing Zhang, Yong Rui:
Sketch Recognition with Natural Correction and Editing. 951-957 - Jing Zhang, Jie Tang, Honglei Zhuang, Cane Wing-Ki Leung, Juan-Zi Li:
Role-Aware Conformity Modeling and Analysis in Social Networks. 958-965
Main Track: Knowledge Representation and Reasoning
- Shqiponja Ahmetaj, Diego Calvanese, Magdalena Ortiz, Mantas Simkus:
Managing Change in Graph-Structured Data Using Description Logics. 966-973 - Gadi Aleksandrowicz, Hana Chockler, Joseph Y. Halpern, Alexander Ivrii:
The Computational Complexity of Structure-Based Causality. 974-980 - Saadat Anwar, Chitta Baral:
Pathway Specification and Comparative Queries: A High Level Language with Petri Net Semantics. 981-988 - Vaishak Belle, Hector J. Levesque:
PREGO: An Action Language for Belief-Based Cognitive Robotics in Continuous Domains. 989-995 - Meghyn Bienvenu, Camille Bourgaux, François Goasdoué:
Querying Inconsistent Description Logic Knowledge Bases under Preferred Repair Semantics. 996-1002 - Diego Calvanese, Wolfgang Fischl, Reinhard Pichler, Emanuel Sallinger, Mantas Simkus:
Capturing Relational Schemas and Functional Dependencies in RDFS. 1003-1011 - Jens Claßen, Martin Liebenberg, Gerhard Lakemeyer, Benjamin Zarrieß:
Exploring the Boundaries of Decidable Verification of Non-Terminating Golog Programs. 1012-1019 - Marco Console, Maurizio Lenzerini:
Data Quality in Ontology-based Data Access: The Case of Consistency. 1020-1026 - Giuseppe De Giacomo, Riccardo De Masellis, Marco Montali:
Reasoning on LTL on Finite Traces: Insensitivity to Infiniteness. 1027-1033 - Jianfeng Du, Kewen Wang, Yi-Dong Shen:
A Tractable Approach to ABox Abduction over Description Logic Ontologies. 1034-1040 - Thomas Eiter, Michael Fink, Christoph Redl, Daria Stepanova:
Exploiting Support Sets for Answer Set Programs with External Evaluations. 1041-1048 - Hélène Fargier, Pierre Marquis, Alexandre Niveau, Nicolas Schmidt:
A Knowledge Compilation Map for Ordered Real-Valued Decision Diagrams. 1049-1055 - Benjamin J. Hescott, Roni Khardon:
The Complexity of Reasoning with FODD and GFODD. 1056-1062 - Jianmin Ji, Hai Wan, Peng Xiao, Ziwei Huo, Zhanhao Xiao:
Elementary Loops Revisited. 1063-1069 - Souhila Kaci, Yakoub Salhi:
A Constructive Argumentation Framework. 1070-1076 - Mark Kaminski, Yavor Nenov, Bernardo Cuenca Grau:
Datalog Rewritability of Disjunctive Datalog Programs and its Applications to Ontology Reasoning. 1077-1083 - Matthew Evans Klenk, Johan de Kleer, Daniel G. Bobrow, Bill Janssen:
Qualitative Reasoning with Modelica Models. 1084-1090 - Martin Kronegger, Martin Lackner, Andreas Pfandler, Reinhard Pichler:
A Parameterized Complexity Analysis of Generalized CP-Nets. 1091-1097 - Takuya Matsuzaki, Hidenao Iwane, Hirokazu Anai, Noriko H. Arai:
The Most Uncreative Examinee: A First Step toward Wide Coverage Natural Language Math Problem Solving. 1098-1104 - Hai Wan, Zhanhao Xiao, Zhenfeng Yuan, Heng Zhang, Yan Zhang:
Computing General First-Order Parallel and Prioritized Circumscription. 1105-1111 - Zhen Wang, Jianwen Zhang, Jianlin Feng, Zheng Chen:
Knowledge Graph Embedding by Translating on Hyperplanes. 1112-1119 - Fang Wei-Kleiner, Zlatan Dragisic, Patrick Lambrix:
Abduction Framework for Repairing Incomplete EL Ontologies: Complexity Results and Algorithms. 1120-1127 - Michal Wrona:
Local-to-Global Consistency Implies Tractability of Abduction. 1128-1134 - Tom Zamir, Roni Tzvi Stern, Meir Kalech:
Using Model-Based Diagnosis to Improve Software Testing. 1135-1141 - Yujiao Zhou, Yavor Nenov, Bernardo Cuenca Grau, Ian Horrocks:
Pay-As-You-Go OWL Query Answering Using a Triple Store. 1142-1148 - Zhiqiang Zhuang, Zhe Wang, Kewen Wang, Guilin Qi:
Contraction and Revision over DL-Lite TBoxes. 1149-1156
Main Track: Machine Learning Applications
- M. Hidayath Ansari, Michael H. Coen, Barbara B. Bendlin, Mark A. Sager, Sterling C. Johnson:
A Spatially Sensitive Kernel to Predict Cognitive Performance from Short-Term Changes in Neural Structure. 1157-1163 - Márcia Baptista, Anjie Fang, Helmut Prendinger, Rui Prada, Yohei Yamaguchi:
Accurate Household Occupant Behavior Modeling Based on Data Mining Techniques. 1164-1170 - Xiaojun Chang, Feiping Nie, Yi Yang, Heng Huang:
A Convex Formulation for Semi-Supervised Multi-Label Feature Selection. 1171-1177 - Chih-Chun Chia, James Blum, Zahi N. Karam, Satinder Singh, Zeeshan Syed:
Predicting Postoperative Atrial Fibrillation from Independent ECG Components. 1178-1184 - Puja Das, Nicholas Johnson, Arindam Banerjee:
Online Portfolio Selection with Group Sparsity. 1185-1191 - Zhengming Ding, Ming Shao, Yun Fu:
Latent Low-Rank Transfer Subspace Learning for Missing Modality Recognition. 1192-1198 - Vincent Dumoulin, Ian J. Goodfellow, Aaron C. Courville, Yoshua Bengio:
On the Challenges of Physical Implementations of RBMs. 1199-1205 - Xingyu Gao, Steven C. H. Hoi, Yongdong Zhang, Ji Wan, Jintao Li:
SOML: Sparse Online Metric Learning with Application to Image Retrieval. 1206-1212 - Jonathan Grizou, Iñaki Iturrate, Luis Montesano, Pierre-Yves Oudeyer, Manuel Lopes:
Calibration-Free BCI Based Control. 1213-1220 - Ghasem Heyrani-Nobari, Tat-Seng Chua:
User Intent Identification from Online Discussions Using a Joint Aspect-Action Topic Model. 1221-1227 - Chengcheng Jia, Guoqiang Zhong, Yun Raymond Fu:
Low-Rank Tensor Learning with Discriminant Analysis for Action Classification and Image Recovery. 1228-1234 - Shenghua Liu, Xueqi Cheng, Fangtao Li:
Ranking Tweets by Labeled and Collaboratively Selected Pairs with Transitive Closure. 1235-1241 - James Robert Lloyd, David Duvenaud, Roger B. Grosse, Joshua B. Tenenbaum, Zoubin Ghahramani:
Automatic Construction and Natural-Language Description of Nonparametric Regression Models. 1242-1250 - Canyi Lu, Yunchao Wei, Zhouchen Lin, Shuicheng Yan:
Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization. 1251-1257 - Zhiwu Lu, Liwei Wang, Ji-Rong Wen:
Direct Semantic Analysis for Social Image Classification. 1258-1264 - Kelly Moran, Byron C. Wallace, Carla E. Brodley:
Discovering Better AAAI Keywords via Clustering with Community-Sourced Constraints. 1265-1271 - Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor:
Learning Latent Engagement Patterns of Students in Online Courses. 1272-1278 - Fanhua Shang, Yuanyuan Liu, James Cheng:
Generalized Higher-Order Tensor Decomposition via Parallel ADMM. 1279-1285 - Weiwei Shen, Jun Wang, Shiqian Ma:
Doubly Regularized Portfolio with Risk Minimization. 1286-1292 - Fei Tian, Bin Gao, Qing Cui, Enhong Chen, Tie-Yan Liu:
Learning Deep Representations for Graph Clustering. 1293-1299 - Fei Tian, Haifang Li, Wei Chen, Tao Qin, Enhong Chen, Tie-Yan Liu:
Agent Behavior Prediction and Its Generalization Analysis. 1300-1306 - Alexander Van Esbroeck, Satinder Singh, Ilan Rubinfeld, Zeeshan Syed:
Evaluating Trauma Patients: Addressing Missing Covariates with Joint Optimization. 1307-1313 - Byron C. Wallace, Issa J. Dahabreh, Thomas A. Trikalinos, Michael Barton Laws, Ira B. Wilson, Eugene Charniak:
Identifying Differences in Physician Communication Styles with a Log-Linear Transition Component Model. 1314-1320 - Dong Wang, Xiaoyang Tan:
Robust Distance Metric Learning in the Presence of Label Noise. 1321-1327 - Hua Wang, Feiping Nie, Heng Huang:
Globally and Locally Consistent Unsupervised Projection. 1328-1333 - Qifan Wang, Lingyun Ruan, Luo Si:
Adaptive Knowledge Transfer for Multiple Instance Learning in Image Classification. 1334-1340 - Jinfeng Yi, Jun Wang, Rong Jin:
Privacy and Regression Model Preserved Learning. 1341-1347 - Onur Yürüten, Jiyong Zhang, Pearl Pu:
Decomposing Activities of Daily Living to Discover Routine Clusters. 1348-1354 - Miao Zhang, Chris H. Q. Ding, Ya Zhang, Feiping Nie:
Feature Selection at the Discrete Limit. 1355-1361 - Xiaoqin Zhang, Zhengyuan Zhou, Di Wang, Yi Ma:
Hybrid Singular Value Thresholding for Tensor Completion. 1362-1368 - Yuyu Zhang, Hanjun Dai, Chang Xu, Jun Feng, Taifeng Wang, Jiang Bian, Bin Wang, Tie-Yan Liu:
Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks. 1369-1375 - Shuai Zheng, James T. Kwok:
Accurate Integration of Aerosol Predictions by Smoothing on a Manifold. 1376-1383
Main Track: Multiagent Systems
- Sofia Amador, Steven Okamoto, Roie Zivan:
Dynamic Multi-Agent Task Allocation with Spatial and Temporal Constraints. 1384-1390 - Craig Boutilier, Jérôme Lang, Joel Oren, Héctor Palacios:
Robust Winners and Winner Determination Policies under Candidate Uncertainty. 1391-1397 - Robert Bredereck, Jiehua Chen, Piotr Faliszewski, André Nichterlein, Rolf Niedermeier:
Prices Matter for the Parameterized Complexity of Shift Bribery. 1398-1404 - John P. Dickerson, Jonathan R. Goldman, Jeremy Karp, Ariel D. Procaccia, Tuomas Sandholm:
The Computational Rise and Fall of Fairness. 1405-1411 - John P. Dickerson, Tuomas Sandholm:
Multi-Organ Exchange: The Whole Is Greater than the Sum of its Parts. 1412-1418 - Ning Ding, Fangzhen Lin:
On Computing Optimal Strategies in Open List Proportional Representation: The Two Parties Case. 1419-1425 - Xiaowei Huang, Ron van der Meyden:
Symbolic Model Checking Epistemic Strategy Logic. 1426-1432 - Yicheng Liu, Pingzhong Tang, Wenyi Fang:
Internally Stable Matchings and Exchanges. 1433-1439 - Benny Lutati, Vadim Levit, Tal Grinshpoun, Amnon Meisels:
Congestion Games for V2G-Enabled EV Charging. 1440-1446 - Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Shlomo Zilberstein, Chongjie Zhang:
Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs. 1447-1455 - Joel Oren, Brendan Lucier:
Online (Budgeted) Social Choice. 1456-1462 - Joel Oren, Nina Narodytska, Craig Boutilier:
A Game-Theoretic Analysis of Catalog Optimization. 1463-1470 - Bijan Ranjbar Sahraei, Haitham Bou-Ammar, Daan Bloembergen, Karl Tuyls, Gerhard Weiss:
Theory of Cooperation in Complex Social Networks. 1471-1477 - Jason Sleight, Edmund H. Durfee:
Multiagent Metareasoning through Organizational Design. 1478-1484 - Leandro Soriano Marcolino, Haifeng Xu, Albert Xin Jiang, Milind Tambe, Emma Bowring:
Give a Hard Problem to a Diverse Team: Exploring Large Action Spaces. 1485-1491 - Feng Wu, Nicholas R. Jennings:
Regret-Based Multi-Agent Coordination with Uncertain Task Rewards. 1492-1499 - Haifeng Xu, Fei Fang, Albert Xin Jiang, Vincent Conitzer, Shaddin Dughmi, Milind Tambe:
Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains. 1500-1506 - Xiaoqin Shelley Zhang, Mark Klein, Ivan Marsá-Maestre:
Scalable Complex Contract Negotiation with Structured Search and Agenda Management. 1507-1514
Main Track: NLP and Knowledge Representation
- Erik Cambria, Daniel Olsher, Dheeraj Rajagopal:
SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis. 1515-1521 - Linfeng Song, Yue Zhang, Kai Song, Qun Liu:
Joint Morphological Generation and Syntactic Linearization. 1522-1528 - Johannes Twiefel, Timo Baumann, Stefan Heinrich, Stefan Wermter:
Improving Domain-independent Cloud-Based Speech Recognition with Domain-Dependent Phonetic Post-Processing. 1529-1536
Main Track: NLP and Machine Learning
- Li Dong, Furu Wei, Ming Zhou, Ke Xu:
Adaptive Multi-Compositionality for Recursive Neural Models with Applications to Sentiment Analysis. 1537-1543 - Rui Fang, Malcolm Doering, Joyce Y. Chai:
Collaborative Models for Referring Expression Generation in Situated Dialogue. 1544-1550 - Lionel Martin, Pearl Pu:
Prediction of Helpful Reviews Using Emotions Extraction. 1551-1557 - Iftekhar Naim, Young Chol Song, Qiguang Liu, Henry A. Kautz, Jiebo Luo, Daniel Gildea:
Unsupervised Alignment of Natural Language Instructions with Video Segments. 1558-1564 - John Walker Orr, Prasad Tadepalli, Janardhan Rao Doppa, Xiaoli Z. Fern, Thomas G. Dietterich:
Learning Scripts as Hidden Markov Models. 1565-1571 - Lin Qiu, Yong Cao, Zaiqing Nie, Yong Yu, Yong Rui:
Learning Word Representation Considering Proximity and Ambiguity. 1572-1578 - Yangqiu Song, Dan Roth:
On Dataless Hierarchical Text Classification. 1579-1585 - Alessandro Sordoni, Yoshua Bengio, Jian-Yun Nie:
Learning Concept Embeddings for Query Expansion by Quantum Entropy Minimization. 1586-1592 - Jun Suzuki, Masaaki Nagata:
Fused Feature Representation Discovery for High-Dimensional and Sparse Data. 1593-1599 - Rui Xia, Jianfei Yu, Feng Xu, Shumei Wang:
Instance-Based Domain Adaptation in NLP via In-Target-Domain Logistic Approximation. 1600-1606 - Min Xiao, Yuhong Guo:
Semi-Supervised Matrix Completion for Cross-Lingual Text Classification. 1607-1614
Main Track: NLP and Text Mining
- Chen Chen, Vincent Ng:
Chinese Overt Pronoun Resolution: A Bilingual Approach. 1615-1621 - Chen Chen, Vincent Ng:
Chinese Zero Pronoun Resolution: An Unsupervised Approach Combining Ranking and Integer Linear Programming. 1622-1628 - Sujatha Das Gollapalli, Cornelia Caragea:
Extracting Keyphrases from Research Papers Using Citation Networks. 1629-1635 - Fangtao Li, Sheng Wang, Shenghua Liu, Ming Zhang:
SUIT: A Supervised User-Item Based Topic Model for Sentiment Analysis. 1636-1642 - Lizi Liao, Jing Jiang, Ying Ding, Heyan Huang, Ee-Peng Lim:
Lifetime Lexical Variation in Social Media. 1643-1649 - Yinfei Yang, Ani Nenkova:
Detecting Information-Dense Texts in Multiple News Domains. 1650-1656 - Jiajun Zhang, Shujie Liu, Mu Li, Ming Zhou, Chengqing Zong:
Mind the Gap: Machine Translation by Minimizing the Semantic Gap in Embedding Space. 1657-1664
Main Track: Novel Machine Learning Algorithms
- Maruan Al-Shedivat, Jim Jing-Yan Wang, Majed Alzahrani, Jianhua Z. Huang, Xin Gao:
Supervised Transfer Sparse Coding. 1665-1672 - Alnur Ali, Rich Caruana, Ashish Kapoor:
Active Learning with Model Selection. 1673-1679 - Wei Bi, James T. Kwok:
Multilabel Classification with Label Correlations and Missing Labels. 1680-1686 - Tim Brys, Ann Nowé, Daniel Kudenko, Matthew E. Taylor:
Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence. 1687-1693 - Kerstin Bunte, Matti Järvisalo, Jeremias Berg, Petri Myllymäki, Jaakko Peltonen, Samuel Kaski:
Optimal Neighborhood Preserving Visualization by Maximum Satisfiability. 1694-1700 - Róbert Busa-Fekete, Balázs Szörényi, Eyke Hüllermeier:
PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences. 1701-1707 - CJ Carey, Sridhar Mahadevan:
Manifold Spanning Graphs. 1708-1714 - Miguel Á. Carreira-Perpiñán, Weiran Wang:
LASS: A Simple Assignment Model with Laplacian Smoothing. 1715-1721 - Supratik Chakraborty, Daniel J. Fremont, Kuldeep S. Meel, Sanjit A. Seshia, Moshe Y. Vardi:
Distribution-Aware Sampling and Weighted Model Counting for SAT. 1722-1730 - Sotirios Chatzis:
Dynamic Bayesian Probabilistic Matrix Factorization. 1731-1737 - Sotirios Chatzis:
Echo-State Conditional Restricted Boltzmann Machines. 1738-1744 - Dongdong Chen, Jian Cheng Lv, Zhang Yi:
A Local Non-Negative Pursuit Method for Intrinsic Manifold Structure Preservation. 1745-1751 - Ning Chen, Jun Zhu, Jianfei Chen, Bo Zhang:
Dropout Training for Support Vector Machines. 1752-1759 - Qing Da, Yang Yu, Zhi-Hua Zhou:
Learning with Augmented Class by Exploiting Unlabeled Data. 1760-1766 - William Dabney, Philip S. Thomas:
Natural Temporal Difference Learning. 1767-1773 - Patrick Dallaire, Philippe Giguère, Brahim Chaib-draa:
Learning the Structure of Probabilistic Graphical Models with an Extended Cascading Indian Buffet Process. 1774-1780 - Hu Ding, Jinhui Xu:
Finding Median Point-Set Using Earth Mover's Distance. 1781-1787 - Nemanja Djuric, Mihajlo Grbovic, Vladan Radosavljevic, Narayan Bhamidipati, Slobodan Vucetic:
Non-Linear Label Ranking for Large-Scale Prediction of Long-Term User Interests. 1788-1794 - Janardhan Rao Doppa, Jun Yu, Chao Ma, Alan Fern, Prasad Tadepalli:
HC-Search for Multi-Label Prediction: An Empirical Study. 1795-1801 - Gary Doran, Soumya Ray:
Learning Instance Concepts from Multiple-Instance Data with Bags as Distributions. 1802-1808 - Meng Fang, Jie Yin, Dacheng Tao:
Active Learning for Crowdsourcing Using Knowledge Transfer. 1809-1815 - Victor Gabillon, Branislav Kveton, Zheng Wen, Brian Eriksson, S. Muthukrishnan:
Large-Scale Optimistic Adaptive Submodularity. 1816-1823 - Robby Goetschalckx, Alan Fern, Prasad Tadepalli:
Coactive Learning for Locally Optimal Problem Solving. 1824-1830 - Mehmet Gönen, Adam A. Margolin:
Kernelized Bayesian Transfer Learning. 1831-1839 - Chen Gong, Dacheng Tao, Keren Fu, Jie Yang:
ReLISH: Reliable Label Inference via Smoothness Hypothesis. 1840-1846 - Chen Gong, Dacheng Tao, Jie Yang, Keren Fu:
Signed Laplacian Embedding for Supervised Dimension Reduction. 1847-1853 - Lei Han, Yu Zhang, Guojie Song, Kunqing Xie:
Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework. 1854-1860 - Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu, Wei Cao:
Deep Modeling of Group Preferences for Group-Based Recommendation. 1861-1867 - Sheng-Jun Huang, Wei Gao, Zhi-Hua Zhou:
Fast Multi-Instance Multi-Label Learning. 1868-1874 - Vahid Jalali, David Leake:
Adaptation-Guided Case Base Maintenance. 1875-1881 - Xiao-Yuan Jing, Ruimin Hu, Yang-Ping Zhu, Shanshan Wu, Chao Liang, Jing-Yu Yang:
Intra-View and Inter-View Supervised Correlation Analysis for Multi-View Feature Learning. 1882-1889 - Kshitij Judah, Alan Fern, Prasad Tadepalli, Robby Goetschalckx:
Imitation Learning with Demonstrations and Shaping Rewards. 1890-1896 - Motonobu Kanagawa, Yu Nishiyama, Arthur Gretton, Kenji Fukumizu:
Monte Carlo Filtering Using Kernel Embedding of Distributions. 1897-1903 - Kristian Kersting, Martin Mladenov, Roman Garnett, Martin Grohe:
Power Iterated Color Refinement. 1904-1910 - Tomás Kocák, Michal Valko, Rémi Munos, Shipra Agrawal:
Spectral Thompson Sampling. 1911-1917 - Deguang Kong, Chris H. Q. Ding:
Non-Convex Feature Learning via L_{p, inf} Operator. 1918-1924 - Deguang Kong, Chris H. Q. Ding:
Pairwise-Covariance Linear Discriminant Analysis. 1925-1931 - George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Constructing Symbolic Representations for High-Level Planning. 1932-1938 - Matt J. Kusner, Wenlin Chen, Quan Zhou, Zhixiang Eddie Xu, Kilian Q. Weinberger, Yixin Chen:
Feature-Cost Sensitive Learning with Submodular Trees of Classifiers. 1939-1945 - Anastasios Kyrillidis, Rabeeh Karimi Mahabadi, Quoc Tran-Dinh, Volkan Cevher:
Scalable Sparse Covariance Estimation via Self-Concordance. 1946-1952 - Shiwei Lan, Jeffrey Streets, Babak Shahbaba:
Wormhole Hamiltonian Monte Carlo. 1953-1959 - Tuan M. V. Le, Hady Wirawan Lauw:
Manifold Learning for Jointly Modeling Topic and Visualization. 1960-1967 - Shao-Yuan Li, Yuan Jiang, Zhi-Hua Zhou:
Partial Multi-View Clustering. 1968-1974 - Xinwang Liu, Lei Wang, Jian Zhang, Jianping Yin:
Sample-Adaptive Multiple Kernel Learning. 1975-1981 - Yong Luo, Jian Tang, Jun Yan, Chao Xu, Zheng Chen:
Pre-Trained Multi-View Word Embedding Using Two-Side Neural Network. 1982-1988 - Farzaneh Mirzazadeh, Yuhong Guo, Dale Schuurmans:
Convex Co-embedding. 1989-1996 - Tetsuro Morimura, Takayuki Osogami, Tomoyuki Shirai:
Mixing-Time Regularized Policy Gradient. 1997-2003 - Makoto Nakatsuji, Yasuhiro Fujiwara, Hiroyuki Toda, Hiroshi Sawada, Jinguang Zheng, James A. Hendler:
Semantic Data Representation for Improving Tensor Factorization. 2004-2012 - Cam-Tu Nguyen, Xiaoliang Wang, Jing Liu, Zhi-Hua Zhou:
Labeling Complicated Objects: Multi-View Multi-Instance Multi-Label Learning. 2013-2019 - Hidekazu Oiwa, Hiroshi Nakagawa:
Online and Stochastic Learning with a Human Cognitive Bias. 2020-2026 - Qihe Pan, Deguang Kong, Chris H. Q. Ding, Bin Luo:
Robust Non-Negative Dictionary Learning. 2027-2033 - Fabio Panozzo, Nicola Gatti, Marcello Restelli:
Evolutionary Dynamics of Q-Learning over the Sequence Form. 2034-2040 - Periklis A. Papakonstantinou, Jia Xu, Zhu Cao:
Bagging by Design (on the Suboptimality of Bagging). 2041-2047 - Maria Eugenia Ramirez-Loaiza, Aron Culotta, Mustafa Bilgic:
Anytime Active Learning. 2048-2054 - Lev Reyzin:
On Boosting Sparse Parities. 2055-2061 - Paul Ruvolo, Eric Eaton:
Online Multi-Task Learning via Sparse Dictionary Optimization. 2062-2068 - Amir Sadeghipour, Stefan Kopp:
A Hybrid Grammar-Based Approach for Learning and Recognizing Natural Hand Gestures. 2069-2077 - Yuan Shi, Aurélien Bellet, Fei Sha:
Sparse Compositional Metric Learning. 2078-2084 - Le Shu, Tianyang Ma, Longin Jan Latecki:
Locality Preserving Projection for Domain Adaptation with Multi-Objective Learning. 2085-2091 - Xuan Vinh Nguyen, Jeffrey Chan, James Bailey:
Reconsidering Mutual Information Based Feature Selection: A Statistical Significance View. 2092-2098 - Hao Wang, Wei Wang, Chen Zhang, Fanjiang Xu:
Cross-Domain Metric Learning Based on Information Theory. 2099-2105 - Qiaojun Wang, Kai Zhang, Guofei Jiang, Ivan Marsic:
Improving Semi-Supervised Target Alignment via Label-Aware Base Kernels. 2106-2112 - Shusen Wang, Bojun Tu, Congfu Xu, Zhihua Zhang:
Exact Subspace Clustering in Linear Time. 2113-2120 - Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang:
Using The Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms. 2121-2127 - Weiran Wang, Miguel Á. Carreira-Perpiñán:
The Role of Dimensionality Reduction in Classification. 2128-2134 - Yining Wang, Jun Zhu:
Small-Variance Asymptotics for Dirichlet Process Mixtures of SVMs. 2135-2141 - Pengcheng Wu, Yi Ding, Peilin Zhao, Chunyan Miao, Steven C. H. Hoi:
Learning Relative Similarity by Stochastic Dual Coordinate Ascent. 2142-2148 - Rongkai Xia, Yan Pan, Lei Du, Jian Yin:
Robust Multi-View Spectral Clustering via Low-Rank and Sparse Decomposition. 2149-2155 - Rongkai Xia, Yan Pan, Hanjiang Lai, Cong Liu, Shuicheng Yan:
Supervised Hashing for Image Retrieval via Image Representation Learning. 2156-2162 - Bo Xin, Yoshinobu Kawahara, Yizhou Wang, Wen Gao:
Efficient Generalized Fused Lasso and its Application to the Diagnosis of Alzheimer's Disease. 2163-2169 - Tianbing Xu, Jianfeng Gao, Lin Xiao, Amelia C. Regan:
Online Classification Using a Voted RDA Method. 2170-2176 - Dongqing Zhang, Wu-Jun Li:
Large-Scale Supervised Multimodal Hashing with Semantic Correlation Maximization. 2177-2183 - Weijia Zhang, Zhi-Hua Zhou:
Multi-Instance Learning with Distribution Change. 2184-2190 - Xianchao Zhang, Han Liu, Xiaotong Zhang, Xinyue Liu:
Novel Density-Based Clustering Algorithms for Uncertain Data. 2191-2197 - Jiangchuan Zheng, Siyuan Liu, Lionel M. Ni:
Robust Bayesian Inverse Reinforcement Learning with Sparse Behavior Noise. 2198-2205 - Wenliang Zhong, James T. Kwok:
Gradient Descent with Proximal Average for Nonconvex and Composite Regularization. 2206-2212 - Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang, Yan Yan:
Hybrid Heterogeneous Transfer Learning through Deep Learning. 2213-2220
Main Track: Planning and Scheduling
- Meysam Aghighi, Peter Jonsson:
Oversubscription Planning: Complexity and Compilability. 2221-2227 - Sergiy Bogomolov, Daniele Magazzeni, Andreas Podelski, Martin Wehrle:
Planning as Model Checking in Hybrid Domains. 2228-2234 - Blai Bonet, Hector Geffner:
Flexible and Scalable Partially Observable Planning with Linear Translations. 2235-2241 - Alessandro Cimatti, Luke Hunsberger, Andrea Micheli, Marco Roveri:
Using Timed Game Automata to Synthesize Execution Strategies for Simple Temporal Networks with Uncertainty. 2242-2249 - Brian Coltin, Manuela M. Veloso:
Scheduling for Transfers in Pickup and Delivery Problems with Very Large Neighborhood Search. 2250-2256 - Nicolas Drougard, Florent Teichteil-Königsbuch, Jean-Loup Farges, Didier Dubois:
Structured Possibilistic Planning Using Decision Diagrams. 2257-2263 - Cheng Fang, Peng Yu, Brian Charles Williams:
Chance-Constrained Probabilistic Simple Temporal Problems. 2264-2270 - Marc Goerigk, Richard Hoshino, Ken-ichi Kawarabayashi, Stephan Westphal:
Solving the Traveling Tournament Problem by Packing Three-Vertex Paths. 2271-2277 - S. Ali Hojjat, John G. Turner, Suleyman Cetintas, Jian Yang:
Delivering Guaranteed Display Ads under Reach and Frequency Requirements. 2278-2284 - Ping Hou, William Yeoh, Tran Cao Son:
Solving Uncertain MDPs by Reusing State Information and Plans. 2285-2292 - Uwe Köckemann, Federico Pecora, Lars Karlsson:
Grandpa Hates Robots - Interaction Constraints for Planning in Inhabited Environments. 2293-2299 - Martin Kronegger, Sebastian Ordyniak, Andreas Pfandler:
Backdoors to Planning. 2300-2307 - T. K. Satish Kumar, Duc Thien Nguyen, William Yeoh, Sven Koenig:
A Simple Polynomial-Time Randomized Distributed Algorithm for Connected Row Convex Constraints. 2308-2314 - Johannes Löhr, Martin Wehrle, Maria Fox, Bernhard Nebel:
Symbolic Domain Predictive Control. 2315-2321 - Christian J. Muise, Vaishak Belle, Sheila A. McIlraith:
Computing Contingent Plans via Fully Observable Non-Deterministic Planning. 2322-2329 - James G. Paterson, Eric Timmons, Brian Charles Williams:
A Scheduler for Actions with Iterated Durations. 2330-2336 - Eleanor Gilbert Rieffel, Davide Venturelli, Minh Do, Itay Hen, Jeremy Frank:
Parametrized Families of Hard Planning Problems from Phase Transitions. 2337-2343 - Nathan Robinson, Sheila A. McIlraith, David Toman:
Cost-Based Query Optimization via AI Planning. 2344-2351 - Malcolm Ryan:
Efficiently Implementing GOLOG with Answer Set Programming. 2352-2357 - Silvan Sievers, Martin Wehrle, Malte Helmert:
Generalized Label Reduction for Merge-and-Shrink Heuristics. 2358-2366 - Jonathan Sprauel, Andrey Kolobov, Florent Teichteil-Königsbuch:
Saturated Path-Constrained MDP: Planning under Uncertainty and Deterministic Model-Checking Constraints. 2367-2373 - Ran Taig, Ronen I. Brafman:
A Relevance-Based Compilation Method for Conformant Probabilistic Planning. 2374-2380 - Cees Witteveen, Michel Wilson, Tomas Klos:
Optimal Decoupling in Linear Constraint Systems. 2381-2387 - Fan Xie, Martin Müller, Robert Holte:
Adding Local Exploration to Greedy Best-First Search in Satisficing Planning. 2388-2394 - Fan Xie, Martin Müller, Robert Holte, Tatsuya Imai:
Type-Based Exploration with Multiple Search Queues for Satisficing Planning. 2395-2402
Main Track: Reasoning under Uncertainty
- Udi Apsel, Kristian Kersting, Martin Mladenov:
Lifting Relational MAP-LPs Using Cluster Signatures. 2403-2409 - Elias Bareinboim, Jin Tian, Judea Pearl:
Recovering from Selection Bias in Causal and Statistical Inference. 2410-2416 - André da Motta Salles Barreto:
Tree-Based On-Line Reinforcement Learning. 2417-2423 - Bryant Chen, Jin Tian, Judea Pearl:
Testable Implications of Linear Structural Equation Models. 2424-2430 - Yetian Chen, Jin Tian:
Finding the k-best Equivalence Classes of Bayesian Network Structures for Model Averaging. 2431-2438 - Xiannian Fan, Changhe Yuan, Brandon M. Malone:
Tightening Bounds for Bayesian Network Structure Learning. 2439-2445 - Jesse Hostetler, Alan Fern, Tom Dietterich:
State Aggregation in Monte Carlo Tree Search. 2446-2452 - Tushar Khot, Sriraam Natarajan, Jude W. Shavlik:
Relational One-Class Classification: A Non-Parametric Approach. 2453-2459 - Brandon M. Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, Petri Myllymäki:
Predicting the Hardness of Learning Bayesian Networks. 2460-2466 - Mathias Niepert, Guy Van den Broeck:
Tractability through Exchangeability: A New Perspective on Efficient Probabilistic Inference. 2467-2475 - Aditya V. Nori, Chung-Kil Hur, Sriram K. Rajamani, Selva Samuel:
R2: An Efficient MCMC Sampler for Probabilistic Programs. 2476-2482 - Pedro A. Ortega, Daniel D. Lee:
An Adversarial Interpretation of Information-Theoretic Bounded Rationality. 2483-2489 - Joris Renkens, Angelika Kimmig, Guy Van den Broeck, Luc De Raedt:
Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics. 2490-2496 - Parag Singla, Aniruddh Nath, Pedro M. Domingos:
Approximate Lifting Techniques for Belief Propagation. 2497-2504 - Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet:
Decentralized Stochastic Planning with Anonymity in Interactions. 2505-2512 - Tiago Veiga, Matthijs T. J. Spaan, Pedro U. Lima:
Point-Based POMDP Solving with Factored Value Function Approximation. 2513-2519
Main Track: Robotics
- Abdeslam Boularias, James Andrew Bagnell, Anthony Stentz:
Efficient Optimization for Autonomous Robotic Manipulation of Natural Objects. 2520-2526 - Jennifer Elisabeth Buehler, Maurice Pagnucco:
A Framework for Task Planning in Heterogeneous Multi Robot Systems Based on Robot Capabilities. 2527-2533 - Jared Glover, Charlotte Zhu:
Generalizing Policy Advice with Gaussian Process Bandits for Dynamic Skill Improvement. 2534-2541 - Bradford Heap, Maurice Pagnucco:
Minimising Undesired Task Costs in Multi-Robot Task Allocation Problems with In-Schedule Dependencies. 2542-2548 - Ryan Luna, Morteza Lahijanian, Mark Moll, Lydia E. Kavraki:
Optimal and Efficient Stochastic Motion Planning in Partially-Known Environments. 2549-2555 - Cynthia Matuszek, Liefeng Bo, Luke Zettlemoyer, Dieter Fox:
Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions. 2556-2563 - Tayyab Naseer, Luciano Spinello, Wolfram Burgard, Cyrill Stachniss:
Robust Visual Robot Localization Across Seasons Using Network Flows. 2564-2570 - Markus Sebastian Schwenk, Tiago Stegun Vaquero, Goldie Nejat, Kai Oliver Arras:
Schedule-Based Robotic Search for Multiple Residents in a Retirement Home Environment. 2571-2577 - Timothy Wiley, Claude Sammut, Ivan Bratko:
Qualitative Planning with Quantitative Constraints for Online Learning of Robotic Behaviours. 2578-2584 - Nuo Xu, Kian Hsiang Low, Jie Chen, Keng Kiat Lim, Etkin Baris Ozgul:
GP-Localize: Persistent Mobile Robot Localization Using Online Sparse Gaussian Process Observation Model. 2585-2593
Main Track: Search and Constraint Satisfaction
- Carlos Ansótegui, Yuri Malitsky, Meinolf Sellmann:
MaxSAT by Improved Instance-Specific Algorithm Configuration. 2594-2600 - Amine Balafrej, Christian Bessiere, El-Houssine Bouyakhf, Gilles Trombettoni:
Adaptive Singleton-Based Consistencies. 2601-2607 - Paul Beame, Ashish Sabharwal:
Non-Restarting SAT Solvers with Simple Preprocessing Can Efficiently Simulate Resolution. 2608-2615 - Nicolas Beldiceanu, Pierre Flener, Justin Pearson, Pascal Van Hentenryck:
Propagating Regular Counting Constraints. 2616-2622 - Shaowei Cai, Chuan Luo, John Thornton, Kaile Su:
Tailoring Local Search for Partial MaxSAT. 2623-2629 - Clément Carbonnel, Gilles Trombettoni, Philippe Vismara, Gilles Chabert:
Q-Intersection Algorithms for Constraint-Based Robust Parameter Estimation. 2630-2636 - Hamed Fahimi, Claude-Guy Quimper:
Linear-Time Filtering Algorithms for the Disjunctive Constraint. 2637-2643 - Alexander Feldman, Gregory M. Provan:
Diagnosing Analogue Linear Systems Using Dynamic Topological Reconfiguration. 2644-2651 - Serge Gaspers, Neeldhara Misra, Sebastian Ordyniak, Stefan Szeider, Stanislav Zivný:
Backdoors into Heterogeneous Classes of SAT and CSP. 2652-2658 - Stella Giannakopoulou, Charalampos Nikolaou, Manolis Koubarakis:
A Reasoner for the RCC-5 and RCC-8 Calculi Extended with Constants. 2659-2665 - Éric Grégoire, Jean-Marie Lagniez, Bertrand Mazure:
An Experimentally Efficient Method for (MSS, CoMSS) Partitioning. 2666-2673 - Renaud Hartert, Pierre Schaus:
A Support-Based Algorithm for the Bi-Objective Pareto Constraint. 2674-2679 - Yoonheui Kim, Victor R. Lesser:
DJAO: A Communication-Constrained DCOP Algorithm that Combines Features of ADOPT and Action-GDL. 2680-2687 - Jean-Marie Lagniez, Pierre Marquis:
Preprocessing for Propositional Model Counting. 2688-2694 - Jimmy H. M. Lee, Zichen Zhu:
Boosting SBDS for Partial Symmetry Breaking in Constraint Programming. 2695-2702 - Chuan Luo, Shaowei Cai, Wei Wu, Kaile Su:
Double Configuration Checking in Stochastic Local Search for Satisfiability. 2703-2709 - Jean-Noël Monette, Pierre Flener, Justin Pearson:
A Propagator Design Framework for Constraints over Sequences. 2710-2716 - Nina Narodytska, Fahiem Bacchus:
Maximum Satisfiability Using Core-Guided MaxSAT Resolution. 2717-2723 - Charalampos Nikolaou, Manolis Koubarakis:
Fast Consistency Checking of Very Large Real-World RCC-8 Constraint Networks Using Graph Partitioning. 2724-2730 - Alexandre Papadopoulos, Pierre Roy, François Pachet:
Avoiding Plagiarism in Markov Sequence Generation. 2731-2737 - Ethan L. Schreiber, Richard E. Korf:
Cached Iterative Weakening for Optimal Multi-Way Number Partitioning. 2738-2745
Main Track: Vision
- Liang Du, Haibin Ling:
Exploiting Competition Relationship for Robust Visual Recognition. 2746-2752 - Longwen Gao, Shuigeng Zhou:
Towards Topological-Transformation Robust Shape Comparison: A Sparse Representation Based Manifold Embedding Approach. 2753-2759 - Muhammad Wajahat Hussain, Javier Civera, Luis Montano:
Grounding Acoustic Echoes in Single View Geometry Estimation. 2760-2766 - Jianqiu Ji, Jianmin Li, Shuicheng Yan, Qi Tian, Bo Zhang:
Similarity-Preserving Binary Signature for Linear Subspaces. 2767-2772 - Richard M. Jiang, Danny Crookes:
Deep Salience: Visual Salience Modeling via Deep Belief Propagation. 2773-2779 - Ziheng Jiang, Ping Guo, Lihong Peng:
Locality-Constrained Low-Rank Coding for Image Classification. 2780-2786 - Xiao-Yuan Jing, Ruimin Hu, Fei Wu, Xi-Lin Chen, Qian Liu, Yong-Fang Yao:
Uncorrelated Multi-View Discrimination Dictionary Learning for Recognition. 2787-2795 - Evan A. Krause, Michael Zillich, Thomas Emrys Williams, Matthias Scheutz:
Learning to Recognize Novel Objects in One Shot through Human-Robot Interactions in Natural Language Dialogues. 2796-2802 - Yeqing Li, Chen Chen, Wei Liu, Junzhou Huang:
Sub-Selective Quantization for Large-Scale Image Search. 2803-2809 - Yong Li, Jing Liu, Zechao Li, Yangmuzi Zhang, Hanqing Lu, Songde Ma:
Learning Low-Rank Representations with Classwise Block-Diagonal Structure for Robust Face Recognition. 2810-2816 - Matthai Philipose:
Efficient Object Detection via Adaptive Online Selection of Sensor-Array Elements. 2817-2823 - Joseph Roth, Xiaoming Liu:
On Hair Recognition in the Wild by Machine. 2824-2830 - Min Joon Seo, Hannaneh Hajishirzi, Ali Farhadi, Oren Etzioni:
Diagram Understanding in Geometry Questions. 2831-2838 - Dror Sholomon, Omid E. David, Nathan S. Netanyahu:
A Generalized Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles of Complex Types. 2839-2845 - Hua Wang, Feiping Nie, Heng Huang:
Low-Rank Tensor Completion with Spatio-Temporal Consistency. 2846-2852 - Wenxuan Xie, Yuxin Peng, Jianguo Xiao:
Semantic Graph Construction for Weakly-Supervised Image Parsing. 2853-2859 - Caiming Xiong, Scott McCloskey, Shao-Hang Hsieh, Jason J. Corso:
Latent Domains Modeling for Visual Domain Adaptation. 2860-2866 - Ke Zhang, Wei Zhang, Sheng Zeng, Xiangyang Xue:
Semantic Segmentation Using Multiple Graphs with Block-Diagonal Constraints. 2867-2873 - Kang Zhao, Hongtao Lu, Jincheng Mei:
Locality Preserving Hashing. 2874-2881
Innovative Applications of Artificial Intelligence
Deployed Application Case Studies
- Tim Chan, Joseph I, Carlos Macasaet, Daniel Kang, Robert M. Hardy, Carlos Ruiz, Rigel Porras, Brian Baron, Karim Qazi, Padraic Hannon, Tomonori Honda:
Predictive Models for Determining If and When to Display Online Lead Forms. 2882-2889 - Andy Hon Wai Chun, Ted Yiu Tat Suen:
Engineering Works Scheduling for Hong Kong's Rail Network. 2890-2897 - Randall Davis, David J. Libon, Rhoda Au, David Pitman, Dana L. Penney:
THink: Inferring Cognitive Status from Subtle Behaviors. 2898-2905 - Richard Hoshino, Caleb Raible-Clark:
The Quest Draft: An Automated Course Allocation Algorithm. 2906-2913 - Alfred Krzywicki, Wayne Wobcke, Yang Sok Kim, Xiongcai Cai, Michael Bain, Paul Compton, Ashesh Mahidadia:
Evaluation and Deployment of a People-to-People Recommender in Online Dating. 2914-2921 - Wei Li, Justin Matejka, Tovi Grossman, George W. Fitzmaurice:
Deploying CommunityCommands: A Software Command Recommender System Case Study. 2922-2929 - Jian Wu, Kyle Mark Williams, Hung-Hsuan Chen, Madian Khabsa, Cornelia Caragea, Alexander Ororbia, Douglas Jordan, C. Lee Giles:
CiteSeerX: AI in a Digital Library Search Engine. 2930-2937
Emerging Application Case Studies
- Hazem Radwan Ahmed, Janice I. Glasgow:
Pattern Discovery in Protein Networks Reveals High-Confidence Predictions of Novel Interactions. 2938-2945 - Bahadir Ismail Aydin, Yavuz Selim Yilmaz, Yaliang Li, Qi Li, Jing Gao, Murat Demirbas:
Crowdsourcing for Multiple-Choice Question Answering. 2946-2953 - Amos Azaria, Sarit Kraus, Claudia V. Goldman, Omer Tsimhoni:
Advice Provision for Energy Saving in Automobile Climate Control Systems. 2954-2959 - Bruno Bouchard, Kevin Bouchard, Abdenour Bouzouane:
A Smart Range Helping Cognitively-Impaired Persons Cooking. 2960-2965 - Matthew Brown, Sandhya Saisubramanian, Pradeep Varakantham, Milind Tambe:
STREETS: Game-Theoretic Traffic Patrolling with Exploration and Exploitation. 2966-2971 - Florent Garcin, Boi Faltings:
Swissnoise: Online Polls with Game-Theoretic Incentives. 2972-2977 - William B. Haskell, Debarun Kar, Fei Fang, Milind Tambe, Sam Cheung, Elizabeth Denicola:
Robust Protection of Fisheries with COmPASS. 2978-2983 - Noel Hollingsworth, Jason Meyer, Ryan McGee, Jeffrey Doering, George Dimitri Konidaris, Leslie Pack Kaelbling:
Optimizing a Start-Stop Controller Using Policy Search. 2984-2989 - GeunSik Jo, Kyeong-Jin Oh, Inay Ha, Kee-Sung Lee, Myung-Duk Hong, Ulrich Neumann, Suya You:
A Unified Framework for Augmented Reality and Knowledge-Based Systems in Maintaining Aircraft. 2990-2997 - Jeremy Ludwig, Annaka Kalton, Robert Richards, Brian Bautsch, Craig Markusic, J. Schumacher:
A Schedule Optimization Tool for Destructive and Non-Destructive Vehicle Tests. 2998-3003 - Lydia Manikonda, Tathagata Chakraborti, Sushovan De, Kartik Talamadupula, Subbarao Kambhampati:
AI-MIX: Using Automated Planning to Steer Human Workers Towards Better Crowdsourced Plans. 3004-3009 - Peter Z. Yeh, Benjamin Douglas, William Jarrold, Adwait Ratnaparkhi, Deepak Ramachandran, Peter F. Patel-Schneider, Stephen Laverty, Nirvana Tikku, Sean Brown, Jeremy Mendel:
A Speech-Driven Second Screen Application for TV Program Discovery. 3010-3016 - Jun Yu, Weng-Keen Wong, Steve Kelling:
Clustering Species Accumulation Curves to Identify Skill Levels of Citizen Scientists Participating in the eBird Project. 3017-3023 - Alfred Zong, Yuke Zhu:
StrokeBank: Automating Personalized Chinese Handwriting Generation. 3024-3030
Educational Advances in Artificial Intelligence
Full Papers
- Emilie Featherston, Mohan Sridharan, Susan Darling Urban, Joseph E. Urban:
DOROTHY: Enhancing Bidirectional Communication between a 3D Programming Interface and Mobile Robots. 3031-3036 - Robert Selkowitz, Debra T. Burhans:
Shallow Blue: Lego-Based Embodied AI as a Platform for Cross-Curricular Project Based Learning. 3037-3049 - Michael Wollowski:
Teaching With Watson. 3050-3051
Extended Abstract / Poster
- Robert Selkowitz, Michael Heilemann, Jon Mrowczynski:
Jim: A Platform for Affective AI in an Interdisciplinary Setting. 3052-3054 - Kartik Talamadupula, Subbarao Kambhampati:
Easychair as a Pedagogical Tool: Engaging Graduate Students in the Reviewing Process. 3055-
Model AI Assignments
- Todd W. Neller, Laura E. Brown, Roger L. West, James E. Heliotis, Sean Strout, Ivona Bezáková, Bikramjit Banerjee, Daniel Lucas Thompson:
Model AI Assignments 2014. 3054-3056
Doctoral Consortium
Model AI Assignments
- Thomas E. Allen:
Making CP-Nets (More) Useful. 3057-3058 - Ofra Amir:
Information Sharing for Care Coordination. 3059-3060 - Jason M. Bindewald:
The Effect of Similarity between Human and Machine Action Choices on Adaptive Automation Performance. 3061-3062 - Adrian Boteanu:
Solving Semantic Problems Using Contexts Extracted from Knowledge Graphs. 3063-3064 - Tim Brys, Ann Nowé:
Reinforcement Learning on Multiple Correlated Signals. 3065-3066 - Maria de los Angeles Chang:
Analogy Tutor: A Tutoring System for Promoting Conceptual Learning via Comparison. 3067-3068 - John A. Doucette:
Imputation, Social Choice, and Partial Preferences. 3069-3070 - Elizabeth A. Jensen:
Robot Team Exploration with Communication Restrictions. 3071-3072 - Anup K. Kalia:
The Semantic Interpretation of Trust in Multiagent Interactions. 3073-3074 - Taraneh Khazaei:
Modeling Argumentation and Explanation in the Social Web. 3075-3076 - Khang Nhut Lam:
Automatically Creating Multilingual Lexical Resources. 3077-3078 - Luis Enrique Pineda:
Probabilistic Planning with Reduced Models. 3079-3080 - Matthew Spradling:
Roles and Teams Hedonic Games. 3081-3082 - Ran Taig:
Compilation Based Approaches to Probabilistic Planning - Thesis Summary. 3083-3084 - Lawson L. S. Wong:
Living and Searching in the World: Object-Based State Estimation for Mobile Robots. 3085-3086 - Xiaojian Wu:
Optimizing and Learning Diffusion Behaviors in Complex Network. 3087-3089
Student Abstracts
Model AI Assignments
- Saad Alqithami, Henry Hexmoor:
Social Capital in Network Organizations. 3090-3091 - Ofra Amir, Barbara J. Grosz, Roni Stern:
To Share or Not to Share? The Single Agent in a Team Decision Problem. 3092-3093 - Nobuo Araki, Masakazu Muramatsu, Kunihito Hoki, Satoshi Takahashi:
Monte-Carlo Simulation Adjusting. 3094-3095 - Amos Azaria, Ya'akov Gal, Claudia V. Goldman, Sarit Kraus:
Advice Provision for Choice Selection Processes with Ranked Options. 3096-3097 - Rogelio Enrique Cardona-Rivera, Robert Michael Young:
A Knowledge Representation that Models Memory in Narrative Comprehension. 3098-3099 - Peng Cheng, Jeng-Shyang Pan:
Association Rule Hiding Based on Evolutionary Multi-Objective Optimization by Removing Items. 3100-3101 - Yili Fang, Hailong Sun, Richong Zhang, Jinpeng Huai, Yongyi Mao:
A Model for Aggregating Contributions of Synergistic Crowdsourcing Workflows. 3102-3103 - Tadhg Fitzgerald, Barry O'Sullivan, Yuri Malitsky, Kevin Tierney:
Online Search Algorithm Configuration. 3104-3105 - Rafik Hadfi, Takayuki Ito:
Addressing Complexity in Multi-Issue Negotiation via Utility Hypergraphs. 3106-3107 - Elizabeth A. Jensen, Ken Sugawara:
Communication-Restricted Exploration for Small Teams. 3108-3109 - Stephen Kelly, Malcolm I. Heywood:
Genotypic versus Behavioural Diversity for Teams of Programs under the 4-v-3 Keepaway Soccer Task. 3110-3111 - Igor Kiselev, Pascal Poupart:
A Novel Single-DBN Generative Model for Optimizing POMDP Controllers by Probabilistic Inference. 3112-3113 - Sylvain Labranche, Eric Beaudry:
Partial Satisfaction Planning under Time Uncertainty with Control on When Objectives Can Be Aborted. 3114-3115 - Chia-Ling Lee, Ya-Ning Chang, Chao-Lin Liu, Chia-Ying Lee, Jane Yung-jen Hsu:
Semantical Clustering of Morphologically Related Chinese Words. 3116-3117 - Chi-Chin Lin, Jane Yung-jen Hsu:
Crowdsourced Explanations for Humorous Internet Memes. 3118-3119 - Dawei Liu, Yuanzhuo Wang, Yantao Jia, Jingyuan Li, Zhihua Yu:
LSDH: A Hashing Approach for Large-Scale Link Prediction in Microblogs. 3120-3121 - Nian Liu, Lin Li, Guandong Xu, Zhenglu Yang:
Identifying Domain-Dependent Influential Microblog Users: A Post-Feature Based Approach. 3122-3123 - Yuan Liu, Siyuan Liu, Jie Zhang, Hui Fang, Han Yu, Chunyan Miao:
RepRev: Mitigating the Negative Effects of Misreported Ratings. 3124-3125 - Yuan Liu, Jie Zhang, Han Yu, Chunyan Miao:
Reputation-Aware Continuous Double Auction. 3126-3127 - Jian Luo, Fuan Pu, Yulai Zhang, Guiming Luo:
Computing Preferences Based on Agents' Beliefs. 3128-3129 - Zhi Qiao, Peng Zhang, Chuan Zhou, Yanan Cao, Li Guo, Yanchuan Zhang:
Event Recommendation in Event-Based Social Networks. 3130-3131 - Zeynep G. Saribatur, Esra Erdem, Volkan Patoglu:
Coordination of Multiple Teams of Robots for an Optimal Global Plan. 3132-3133 - Daniel R. Schlegel, Stuart C. Shapiro:
Inference Graphs: A New Kind of Hybrid Reasoning System. 3134-3135 - Vishnu Purushothaman Sreenivasan, Haitham Bou-Ammar, Eric Eaton:
Online Multi-Task Gradient Temporal-Difference Learning. 3136-3137 - Roberto Valerio, Ricardo Vilalta:
A Data Complexity Approach to Kernel Selection for Support Vector Machines. 3138-3139 - Lawson L. S. Wong:
A Model Attention and Selection Framework for Estimation of Many Variables, with Applications to Estimating Object States in Large Spatial Environments. 3140-3141 - Jia Xu, Ubbo Visser, Mansur R. Kabuka:
Converting Instance Checking to Subsumption: A Rethink for Object Queries over Practical Ontologies. 3142-3143 - Yexiang Xue, Stefano Ermon, Carla P. Gomes, Bart Selman:
Uncovering Hidden Structure through Parallel Problem Decomposition. 3144-3145 - Jinfeng Yang, Yi Guan, Xishuang Dong, Bin He:
Representing Words as Lymphocytes. 3146-3147 - Yingzhen Yang, Zhangyang Wang, Jianchao Yang, Jiangping Wang, Shiyu Chang, Thomas S. Huang:
Data Clustering by Laplacian Regularized L1-Graph. 3148-3149 - Yulai Zhang, Guiming Luo:
Fast Algorithm for Non-Stationary Gaussian Process Prediction. 3150-3151 - Yulai Zhang, Guiming Luo:
Inferring Causal Directions in Errors-in-Variables Models. 3152-3153 - Zeya Zhao, Yantao Jia, Yuanzhuo Wang:
Content-Structural Relation Inference in Knowledge Base. 3154-
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