Inductive logic programming

About this book

Inductive Logic Programming: 11th International Conference, ILP 2001 Strasbourg, France, September 9–11, 2001 Proceedings Author: Céline Rouveirol, Michéle Sebag Published by Springer Berlin Heidelberg ISBN: 978-3-540-42538-0 DOI: 10.1007/3-540-44797-0 Table of Contents: A Refinement Operator for Theories Learning Logic Programs with Neural Networks A Genetic Algorithm for Propositionalization Classifying Uncovered Examples by Rule Stretching Relational Learning Using Constrained Confidence-Rated Boosting Induction, Abduction, and Consequence-Finding From Shell Logs to Shell Scripts An Automated ILP Server in the Field of Bioinformatics Adaptive Bayesian Logic Programs Towards Combining Inductive Logic Programming with Bayesian Networks Demand-Driven Construction of Structural Features in ILP Transformation-Based Learning Using Multirelational Aggregation Discovering Associations between Spatial Objects: An ILP Application θ-Subsumption in a Constraint Satisfaction Perspective Learning to Parse from a Treebank: Combining TBL and ILP Induction of Stable Models Application of Pruning Techniques for Propositional Learning to Progol Application of ILP to Cardiac Arrhythmia Characterization for Chronicle Recognition Efficient Cross-Validation in ILP Modelling Semi-structured Documents with Hedges for Deduction and Induction