Inductive Logic Programming

Inductive Logic Programming: 11th International Conference, ILP 2001 Strasbourg, France, September 9–11, 2001 ProceedingsAuthor: Céline Rouveirol, Michéle Sebag Published by Springer Berlin Heidelberg ISBN: 978-3-540-42538-0 DOI: 10.1007/3-540-44797-0Table 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