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ORCID18. ILP 2008: Prague, Czech Republic
- Filip Zelezný, Nada Lavrac:
Inductive Logic Programming, 18th International Conference, ILP 2008, Prague, Czech Republic, September 10-12, 2008, Proceedings. Lecture Notes in Computer Science 5194, Springer 2008, ISBN 978-3-540-85927-7
Invited Talks
- Joshua B. Tenenbaum:
Building Theories of the World: Human and Machine Learning Perspectives. 1 - Kristian Kersting:
SRL without Tears: An ILP Perspective. 2 - Frank van Harmelen
:
Semantic Web Meets ILP: Unconsumated Love, or No Love Lost?. 3 - Mark Craven:
Learning Expressive Models of Gene Regulation. 4 - Stefano Bertolo:
Information Overload and FP7 Funding Opportunities in 2009-10. 5
Research Papers
- Érick Alphonse, Aomar Osmani:
A Model to Study Phase Transition and Plateaus in Relational Learning. 6-23 - Annalisa Appice, Michelangelo Ceci, Donato Malerba:
Top-Down Induction of Relational Model Trees in Multi-instance Learning. 24-41 - Mark Bartlett, Iain Bate, Dimitar Kazakov:
Challenges in Relational Learning for Real-Time Systems Applications. 42-58 - Marenglen Biba, Stefano Ferilli, Floriana Esposito:
Discriminative Structure Learning of Markov Logic Networks. 59-76 - Gregor Leban, Jure Zabkar, Ivan Bratko:
An Experiment in Robot Discovery with ILP. 77-90 - Ana Luísa Duboc, Aline Paes, Gerson Zaverucha:
Using the Bottom Clause and Mode Declarations on FOL Theory Revision from Examples. 91-106 - Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
DL-FOIL Concept Learning in Description Logics. 107-121 - Paolo Frasconi, Manfred Jaeger, Andrea Passerini:
Feature Discovery with Type Extension Trees. 122-139 - Sachindra Joshi, Ganesh Ramakrishnan, Ashwin Srinivasan:
Feature Construction Using Theory-Guided Sampling and Randomised Search. 140-157 - Francesca A. Lisi, Floriana Esposito:
Foundations of Onto-Relational Learning. 158-175 - Thierry Mamer, Christopher H. Bryant, John A. W. McCall:
L-Modified ILP Evaluation Functions for Positive-Only Biological Grammar Learning. 176-191 - Sriraam Natarajan, Hung Hai Bui, Prasad Tadepalli, Kristian Kersting, Weng-Keen Wong:
Logical Hierarchical Hidden Markov Models for Modeling User Activities. 192-209 - Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Learning with Kernels in Description Logics. 210-225 - Simon Price, Peter A. Flach:
Querying and Merging Heterogeneous Data by Approximate Joins on Higher-Order Terms. 226-243 - Lorenza Saitta, Christel Vrain:
A Comparison between Two Statistical Relational Models. 244-260 - Chiaki Sakama, Katsumi Inoue:
Brave Induction. 261-278 - David J. Stracuzzi, Tolga Könik:
A Statistical Approach to Incremental Induction of First-Order Hierarchical Knowledge Bases. 279-296 - Alireza Tamaddoni-Nezhad, Stephen H. Muggleton:
A Note on Refinement Operators for IE-Based ILP Systems. 297-314 - Werner Uwents, Hendrik Blockeel:
Learning Aggregate Functions with Neural Networks Using a Cascade-Correlation Approach. 315-329 - Hitoshi Yamasaki, Yosuke Sasaki, Takayoshi Shoudai, Tomoyuki Uchida, Yusuke Suzuki:
Learning Block-Preserving Outerplanar Graph Patterns and Its Application to Data Mining. 330-347
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