Inductive Logic Programming: 21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 – August 3, 2011, Revised Selected Papers

Front Matter....Pages -
Inference and Learning in Planning....Pages 1-1
Beyond Reward: The Problem of Knowledge and Data....Pages 2-6
Exploiting Constraints....Pages 7-13
Online Bayesian Inference for the Parameters of PRISM Programs....Pages 14-19
Learning Compact Markov Logic Networks with Decision Trees....Pages 20-25
Relational Networks of Conditional Preferences....Pages 26-32
 k -Optimal: A Novel Approximate Inference Algorithm for ProbLog....Pages 33-38
Learning Directed Relational Models with Recursive Dependencies....Pages 39-44
Integrating Model Checking and Inductive Logic Programming....Pages 45-60
Learning the Structure of Probabilistic Logic Programs....Pages 61-75
Subgroup Discovery Using Bump Hunting on Multi-relational Histograms....Pages 76-90
Inductive Logic Programming in Answer Set Programming....Pages 91-97
Graph-Based Relational Learning with a Polynomial Time Projection Algorithm....Pages 98-112
Interleaved Inductive-Abductive Reasoning for Learning Complex Event Models....Pages 113-129
Predictive Sequence Miner in ILP Learning....Pages 130-144
Conceptual Clustering of Multi-Relational Data....Pages 145-159
Expressive Power of Safe First-Order Logical Decision Trees....Pages 160-172
DNF Hypotheses in Explanatory Induction....Pages 173-188
Variational Bayes Inference for Logic-Based Probabilistic Models on BDDs....Pages 189-203
Relational Learning for Spatial Relation Extraction from Natural Language....Pages 204-220
Does Multi-Clause Learning Help in Real-World Applications?....Pages 221-237
MC-TopLog: Complete Multi-clause Learning Guided by a Top Theory....Pages 238-254
Integrating Relational Reinforcement Learning with Reasoning about Actions and Change....Pages 255-269
Efficient Operations in Feature Terms Using Constraint Programming....Pages 270-285
Learning Theories Using Estimation Distribution Algorithms and (Reduced) Bottom Clauses....Pages 286-301
Active Learning of Relational Action Models....Pages 302-316
Knowledge-Guided Identification of Petri Net Models of Large Biological Systems....Pages 317-331
Machine Learning a Probabilistic Network of Ecological Interactions....Pages 332-346
Kernel-Based Logical and Relational Learning with kLog for Hedge Cue Detection....Pages 347-357
Projection-Based PILP: Computational Learning Theory with Empirical Results....Pages 358-372
Comparison of Upward and Downward Generalizations in CF-Induction....Pages 373-388
Polynomial Time Inductive Inference of Cograph Pattern Languages from Positive Data....Pages 389-404
Back Matter....Pages -