ILP B

33 papers

YearTitle / Authors
2012Inductive Logic Programming - 21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 - August 3, 2011, Revised Selected Papers
Stephen H. Muggleton, Alireza Tamaddoni-Nezhad, Francesca A. Lisi
2011Active Learning of Relational Action Models.
Christophe Rodrigues, Pierre Gérard, Céline Rouveirol, Henry Soldano
2011Beyond Reward: The Problem of Knowledge and Data.
Richard S. Sutton
2011Comparison of Upward and Downward Generalizations in CF-Induction.
Yoshitaka Yamamoto, Katsumi Inoue, Koji Iwanuma
2011Conceptual Clustering of Multi-Relational Data.
Nuno A. Fonseca, Vítor Santos Costa, Rui Camacho
2011DNF Hypotheses in Explanatory Induction.
Katsumi Inoue
2011Does Multi-Clause Learning Help in Real-World Applications?
Dianhuan Lin, Jianzhong Chen, Hiroaki Watanabe, Stephen H. Muggleton, Pooja Jain, Michael J. E. Sternberg, Charles Baxter, Richard A. Currie, Stuart J. Dunbar, Mark Earll, José Domingo Salazar
2011Efficient Operations in Feature Terms Using Constraint Programming.
Santiago Ontañón, Pedro Meseguer
2011Exploiting Constraints.
Toby Walsh
2011Expressive Power of Safe First-Order Logical Decision Trees.
Joris J. M. Gillis, Jan Van den Bussche
2011Graph-Based Relational Learning with a Polynomial Time Projection Algorithm.
Brahim Douar, Michel Liquiere, Cherif Chiraz Latiri, Yahya Slimani
2011Inductive Logic Programming in Answer Set Programming.
Domenico Corapi, Alessandra Russo, Emil Lupu
2011Inference and Learning in Planning.
Hector Geffner
2011Integrating Model Checking and Inductive Logic Programming.
Dalal Alrajeh, Alessandra Russo, Sebastián Uchitel, Jeff Kramer
2011Integrating Relational Reinforcement Learning with Reasoning about Actions and Change.
Matthias Nickles
2011Interleaved Inductive-Abductive Reasoning for Learning Complex Event Models.
Krishna Sandeep Reddy Dubba, Mehul Bhatt, Frank Dylla, David C. Hogg, Anthony G. Cohn
2011Kernel-Based Logical and Relational Learning with kLog for Hedge Cue Detection.
Mathias Verbeke, Paolo Frasconi, Vincent Van Asch, Roser Morante, Walter Daelemans, Luc De Raedt
2011Knowledge-Guided Identification of Petri Net Models of Large Biological Systems.
Ashwin Srinivasan, Michael Bain
2011Learning Compact Markov Logic Networks with Decision Trees.
Hassan Khosravi, Oliver Schulte, Jianfeng Hu, Tianxiang Gao
2011Learning Directed Relational Models with Recursive Dependencies.
Oliver Schulte, Hassan Khosravi, Tong Man
2011Learning Theories Using Estimation Distribution Algorithms and (Reduced) Bottom Clauses.
Cristiano Grijó Pitangui, Gerson Zaverucha
2011Learning the Structure of Probabilistic Logic Programs.
Elena Bellodi, Fabrizio Riguzzi
2011MC-TopLog: Complete Multi-clause Learning Guided by a Top Theory.
Stephen H. Muggleton, Dianhuan Lin, Alireza Tamaddoni-Nezhad
2011Machine Learning a Probabilistic Network of Ecological Interactions.
Alireza Tamaddoni-Nezhad, David A. Bohan, Alan Raybould, Stephen H. Muggleton
2011Online Bayesian Inference for the Parameters of PRISM Programs.
James Cussens
2011Polynomial Time Inductive Inference of Cograph Pattern Languages from Positive Data.
Yuta Yoshimura, Takayoshi Shoudai, Yusuke Suzuki, Tomoyuki Uchida, Tetsuhiro Miyahara
2011Predictive Sequence Miner in ILP Learning.
Carlos Abreu Ferreira, João Gama, Vítor Santos Costa
2011Projection-Based PILP: Computational Learning Theory with Empirical Results.
Hiroaki Watanabe, Stephen H. Muggleton
2011Relational Learning for Spatial Relation Extraction from Natural Language.
Parisa Kordjamshidi, Paolo Frasconi, Martijn van Otterlo, Marie-Francine Moens, Luc De Raedt
2011Relational Networks of Conditional Preferences - (Extended Abstract).
Frédéric Koriche
2011Subgroup Discovery Using Bump Hunting on Multi-relational Histograms.
Radomír Cernoch, Filip Zelezný
2011Variational Bayes Inference for Logic-Based Probabilistic Models on BDDs.
Masakazu Ishihata, Yoshitaka Kameya, Taisuke Sato
2011k-Optimal: A Novel Approximate Inference Algorithm for ProbLog.
Joris Renkens, Guy Van den Broeck, Siegfried Nijssen