Inductive Logic Programming: 11th International Conference, ILP 2001, Strasbourg, France, September 9-11, 2001. Proceedings by Celine RouveirolInductive Logic Programming: 11th International Conference, ILP 2001, Strasbourg, France, September 9-11, 2001. Proceedings by Celine Rouveirol

Inductive Logic Programming: 11th International Conference, ILP 2001, Strasbourg, France, September…

byCeline RouveirolEditorMichele Sebag

Paperback | August 29, 2001

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(where the frontier - tween induction and abduction wanes). New learning re?nement operators are proposed by L. Badea, while R. Otero investigates negation-handling settings.
Title:Inductive Logic Programming: 11th International Conference, ILP 2001, Strasbourg, France, September…Format:PaperbackDimensions:259 pages, 23.3 × 15.5 × 0.07 inPublished:August 29, 2001Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3540425381

ISBN - 13:9783540425380

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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.- ?-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.- Learning Functions from Imperfect Positive Data.