This book constitutes the thoroughly refereed post-proceedings of the 20th International Conference on Inductive Logic Programming, ILP 2010, held in Florence, Italy in June 2010. The 11 revised full papers and 15 revised short papers presented together with abstracts of three invited talks were carefully reviewed and selected during two rounds of refereeing and revision. All current issues in inductive logic programming, i.e. in logic programming for machine learning are addressed, in particular statistical learning and other probabilistic approaches to machine learning are reflected.
Author(s): Michael Kifer (auth.), Paolo Frasconi, Francesca A. Lisi (eds.)
Series: Lecture Notes in Computer Science 6489 Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2011
Language: English
Pages: 278
Tags: Artificial Intelligence (incl. Robotics); Mathematical Logic and Formal Languages; Computation by Abstract Devices; Information Storage and Retrieval; Database Management
Front Matter....Pages -
Rule Interchange Format: Logic Programming’s Second Wind?....Pages 1-1
Practical Probabilistic Programming....Pages 2-3
Probabilistic Relational Learning and Inductive Logic Programming at a Global Scale....Pages 4-5
Learning Multi-class Theories in ILP....Pages 6-13
A Numerical Refinement Operator Based on Multi-Instance Learning....Pages 14-21
Not Far Away from Home: A Relational Distance-Based Approach to Understanding Images of Houses....Pages 22-29
Approximate Inference for Logic Programs with Annotated Disjunctions....Pages 30-37
Approximate Bayesian Computation for the Parameters of PRISM Programs....Pages 38-46
Probabilistic Rule Learning....Pages 47-58
Interactive Discriminative Mining of Chemical Fragments....Pages 59-66
MMRF for Proteome Annotation Applied to Human Protein Disease Prediction....Pages 67-75
Extending ProbLog with Continuous Distributions....Pages 76-91
Multivariate Prediction for Learning on the Semantic Web....Pages 92-104
Learning Action Descriptions of Opponent Behaviour in the Robocup 2D Simulation Environment....Pages 105-113
Hypothesizing about Causal Networks with Positive and Negative Effects by Meta-level Abduction....Pages 114-129
BET : An Inductive Logic Programming Workbench....Pages 130-137
Seeing the World through Homomorphism: An Experimental Study on Reducibility of Examples....Pages 138-145
Learning Discriminant Rules as a Minimal Saturation Search....Pages 146-157
Variation of Background Knowledge in an Industrial Application of ILP....Pages 158-170
Pruning Search Space for Weighted First Order Horn Clause Satisfiability....Pages 171-180
Multi-relational Pattern Mining Based-on Combination of Properties with Preserving Their Structure in Examples....Pages 181-189
Learning from Noisy Data Using a Non-covering ILP Algorithm....Pages 190-197
Can HOLL Outperform FOLL?....Pages 198-205
Incremental Learning of Relational Action Models in Noisy Environments....Pages 206-213
When Does It Pay Off to Use Sophisticated Entailment Engines in ILP?....Pages 214-221
Stochastic Refinement....Pages 222-237
Fire! Firing Inductive Rules from Economic Geography for Fire Risk Detection....Pages 238-252
Automating the ILP Setup Task: Converting User Advice about Specific Examples into General Background Knowledge....Pages 253-268
Speeding Up Planning through Minimal Generalizations of Partially Ordered Plans....Pages 269-276
Back Matter....Pages -
