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21. ILP 2011: Windsor Great Park, UK
- Stephen H. Muggleton, Alireza Tamaddoni-Nezhad
, Francesca A. Lisi:
Inductive Logic Programming - 21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 - August 3, 2011, Revised Selected Papers. Lecture Notes in Computer Science 7207, Springer 2012, ISBN 978-3-642-31950-1
Invited Talks
- Hector Geffner:
Inference and Learning in Planning. 1 - Richard S. Sutton:
Beyond Reward: The Problem of Knowledge and Data. 2-6 - Toby Walsh:
Exploiting Constraints. 7-13
Special Issue Extended Abstracts
- James Cussens:
Online Bayesian Inference for the Parameters of PRISM Programs. 14-19 - Hassan Khosravi, Oliver Schulte, Jianfeng Hu, Tianxiang Gao:
Learning Compact Markov Logic Networks with Decision Trees. 20-25 - Frédéric Koriche:
Relational Networks of Conditional Preferences - (Extended Abstract). 26-32 - Joris Renkens, Guy Van den Broeck, Siegfried Nijssen:
k-Optimal: A Novel Approximate Inference Algorithm for ProbLog. 33-38 - Oliver Schulte, Hassan Khosravi, Tong Man:
Learning Directed Relational Models with Recursive Dependencies. 39-44
Research Papers
- Dalal Alrajeh, Alessandra Russo
Integrating Model Checking and Inductive Logic Programming. 45-60 - Elena Bellodi, Fabrizio Riguzzi
Learning the Structure of Probabilistic Logic Programs. 61-75 - Radomír Cernoch
Subgroup Discovery Using Bump Hunting on Multi-relational Histograms. 76-90 - Domenico Corapi, Alessandra Russo
Inductive Logic Programming in Answer Set Programming. 91-97 - Brahim Douar, Michel Liquiere, Cherif Chiraz Latiri, Yahya Slimani:
Graph-Based Relational Learning with a Polynomial Time Projection Algorithm. 98-112 - Krishna Sandeep Reddy Dubba, Mehul Bhatt
Interleaved Inductive-Abductive Reasoning for Learning Complex Event Models. 113-129 - Carlos Abreu Ferreira, João Gama
Predictive Sequence Miner in ILP Learning. 130-144 - Nuno A. Fonseca
Conceptual Clustering of Multi-Relational Data. 145-159 - Joris J. M. Gillis, Jan Van den Bussche
Expressive Power of Safe First-Order Logical Decision Trees. 160-172 - Katsumi Inoue
DNF Hypotheses in Explanatory Induction. 173-188 - Masakazu Ishihata, Yoshitaka Kameya, Taisuke Sato
Variational Bayes Inference for Logic-Based Probabilistic Models on BDDs. 189-203 - Parisa Kordjamshidi, Paolo Frasconi, Martijn van Otterlo, Marie-Francine Moens, Luc De Raedt
Relational Learning for Spatial Relation Extraction from Natural Language. 204-220 - Dianhuan Lin, Jianzhong Chen, Hiroaki Watanabe, Stephen H. Muggleton, Pooja Jain, Michael J. E. Sternberg
Does Multi-Clause Learning Help in Real-World Applications? 221-237 - Stephen H. Muggleton, Dianhuan Lin, Alireza Tamaddoni-Nezhad
MC-TopLog: Complete Multi-clause Learning Guided by a Top Theory. 238-254 - Matthias Nickles
Integrating Relational Reinforcement Learning with Reasoning about Actions and Change. 255-269 - Santiago Ontañón, Pedro Meseguer:
Efficient Operations in Feature Terms Using Constraint Programming. 270-285 - Cristiano Grijó Pitangui, Gerson Zaverucha:
Learning Theories Using Estimation Distribution Algorithms and (Reduced) Bottom Clauses. 286-301 - Christophe Rodrigues
Active Learning of Relational Action Models. 302-316 - Ashwin Srinivasan, Michael Bain:
Knowledge-Guided Identification of Petri Net Models of Large Biological Systems. 317-331 - Alireza Tamaddoni-Nezhad
Machine Learning a Probabilistic Network of Ecological Interactions. 332-346 - Mathias Verbeke
Kernel-Based Logical and Relational Learning with kLog for Hedge Cue Detection. 347-357 - Hiroaki Watanabe, Stephen H. Muggleton:
Projection-Based PILP: Computational Learning Theory with Empirical Results. 358-372 - Yoshitaka Yamamoto, Katsumi Inoue
Comparison of Upward and Downward Generalizations in CF-Induction. 373-388 - Yuta Yoshimura, Takayoshi Shoudai, Yusuke Suzuki, Tomoyuki Uchida, Tetsuhiro Miyahara:
Polynomial Time Inductive Inference of Cograph Pattern Languages from Positive Data. 389-404
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