Inductive Logic Programming
Subtitle: 11th International Conference, ILP 2001, Strasbourg, France, September 9-11, 2001. Proceedings (Lecture Notes in Computer Science)
Contributors: Celine Rouveirol (Editor); Michele Sebag (Editor)
Edition: 1 edition
Publisher: Springer
Published: October 2, 2001
Language: eng
Format: Paperback
Number of pages: 261
ISBN-13: 9783540425380
Subjects: Computer Programming; Computer architecture & logic design; Machine learning; General; Computers; Computers - Languages / Programming; Computer Books: General; Programming - Object Oriented Programming; Logic Programming; Artificial Intelligence - General; Adaptive Systems; Algorithmic Learning; Bayesian Resoning; Computers / Artificial Intelligence; Data Mining; Inductive Inference; Inductive Logic Programming; Knowledge Discovery; Programming - General; Congresses
Description: 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>