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Author ILP (Conference) (21st : 2011 : Windsor Great Park, Great Britain)

Title Inductive logic programming : 21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 - August 3, 2011, Revised Selected Papers / [edited by] Stephen H. Muggleton, Alireza Tamaddoni-Nezhad, Francesca A. Lisi
Published Heidelberg ; New York : Springer, [2012]
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Description 1 online resource (xi, 406 pages) : illustrations
Series Lecture notes in computer science, 1611-3349 ; 7207. Lecture notes in artificial intelligence
LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in computer science ; 7207. 1611-3349
Lecture notes in computer science. Lecture notes in artificial intelligence.
LNCS sublibrary. SL 7, Artificial intelligence.
Contents Inference and Learning in Planning / Hector Geffner -- Beyond Reward: The Problem of Knowledge and Data / Richard S. Sutton -- Exploiting Constraints / Toby Walsh -- Online Bayesian Inference for the Parameters of PRISM Programs / James Cussens -- Learning Compact Markov Logic Networks with Decision Trees / Hassan Khosravi, Oliver Schulte, Jianfeng Hu and Tianxiang Gao -- Relational Networks of Conditional Preferences / (Extended Abstract) / Frédéric Koriche -- k-Optimal: A Novel Approximate Inference Algorithm for ProbLog / Joris Renkens, Guy Van den Broeck and Siegfried Nijssen -- Learning Directed Relational Models with Recursive Dependencies / Oliver Schulte, Hassan Khosravi and Tong Man -- Integrating Model Checking and Inductive Logic Programming / Dalal Alrajeh, Alessandra Russo, Sebastian Uchitel and Jeff Kramer -- Learning the Structure of Probabilistic Logic Programs / Elena Bellodi and Fabrizio Riguzzi -- Subgroup Discovery Using Bump Hunting on Multi-relational Histograms / Radomír Černoch and Filip Železný -- Inductive Logic Programming in Answer Set Programming / Domenico Corapi, Alessandra Russo and Emil Lupu -- Graph-Based Relational Learning with a Polynomial Time Projection Algorithm / Brahim Douar, Michel Liquiere, Chiraz Latiri and Yahya Slimani -- Interleaved Inductive-Abductive Reasoning for Learning Complex Event Models / Krishna Dubba, Mehul Bhatt, Frank Dylla, David C. Hogg and Anthony G. Cohn -- Predictive Sequence Miner in ILP Learning / Carlos Abreu Ferreira, João Gama and Vítor Santos Costa -- Conceptual Clustering of Multi-Relational Data / Nuno A. Fonseca, Vítor Santos Costa and Rui Camacho -- Expressive Power of Safe First-Order Logical Decision Trees / Joris J.M. Gillis and Jan Van den Bussche -- DNF Hypotheses in Explanatory Induction / Katsumi Inoue -- Variational Bayes Inference for Logic-Based Probabilistic Models on BDDs / Masakazu Ishihata, Yoshitaka Kameya and Taisuke Sato -- Relational Learning for Spatial Relation Extraction from Natural Language / Parisa Kordjamshidi, Paolo Frasconi, Martijn Van Otterlo, Marie-Francine Moens and Luc De Raedt -- Does Multi-Clause Learning Help in Real-World Applications? / Dianhuan Lin, Jianzhong Chen, Hiroaki Watanabe, Stephen H. Muggleton and Pooja Jain, et al. -- MC-TopLog: Complete Multi-clause Learning Guided by a Top Theory / Stephen H. Muggleton, Dianhuan Lin and Alireza Tamaddoni-Nezhad -- Integrating Relational Reinforcement Learning with Reasoning about Actions and Change / Matthias Nickles -- Efficient Operations in Feature Terms Using Constraint Programming / Santiago Ontañón and Pedro Meseguer -- Learning Theories Using Estimation Distribution Algorithms and (Reduced) Bottom Clauses / Cristiano Grijó Pitangui and Gerson Zaverucha -- Active Learning of Relational Action Models / Christophe Rodrigues, Pierre Gérard, Céline Rouveirol and Henry Soldano -- Knowledge-Guided Identification of Petri Net Models of Large Biological Systems / Ashwin Srinivasan and Michael Bain -- Machine Learning a Probabilistic Network of Ecological Interactions / Alireza Tamaddoni-Nezhad, David Bohan, Alan Raybould and Stephen H. Muggleton -- Kernel-Based Logical and Relational Learning with kLog for Hedge Cue Detection / Mathias Verbeke, Paolo Frasconi, Vincent Van Asch, Roser Morante and Walter Daelemans, et al. -- Projection-Based PILP: Computational Learning Theory with Empirical Results / Hiroaki Watanabe and Stephen H. Muggleton -- Comparison of Upward and Downward Generalizations in CF-Induction / Yoshitaka Yamamoto, Katsumi Inoue and Koji Iwanuma -- Polynomial Time Inductive Inference of Cograph Pattern Languages from Positive Data / Yuta Yoshimura, Takayoshi Shoudai, Yusuke Suzuki, Tomoyuki Uchida and Tetsuhiro Miyahara
Summary This book constitutes the thoroughly refereed post-proceedings of the 21st International Conference on Inductive Logic Programming, ILP 2011, held in Windsor Great Park, UK, in July/August 2011. The 24 revised full papers were carefully reviewed and selected from 66 submissions. Also included are five extended abstracts and three invited talks. The papers represent the diversity and vitality in present ILP research including ILP theory, implementations, probabilistic ILP, biological applications, sub-group discovery, grammatical inference, relational kernels, learning of Petri nets, spatial learning, graph-based learning, and learning of action models
Analysis Mathematical Logic and Formal Languages
Logics and Meanings of Programs
Computation by Abstract Devices
Bibliography Includes bibliographical references and index
Notes Online resource; title from PDF title page (SpringerLink, viewed Aug. 23, 2012)
Subject Logic programming.
Machine learning.
Artificial intelligence.
Genre/Form Conference papers and proceedings.
Form Electronic book
Author Muggleton, Stephen.
Tamaddoni-Nezhad, Alireza.
Lisi, Francesca A.
LC no. 2012942085
ISBN 9783642319518 (electronic bk.)
3642319513 (electronic bk.)
Other Titles ILP 2011