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

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