Inductive Logic Programming (häftad)
Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
312
Utgivningsdatum
1999-06-01
Upplaga
1999 ed.
Förlag
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Medarbetare
Dzeroski, Saso (ed.), Flach, Peter A. (ed.)
Illustrationer
VIII, 312 p.
Volymtitel
9th International Workshop, ILP-99, Bled, Slovenia, June 24-27, 1999 - Proceedings
Dimensioner
234 x 156 x 17 mm
Vikt
449 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9783540661092
Inductive Logic Programming (häftad)

Inductive Logic Programming

9th International Workshop, ILP-99, Bled, Slovenia, June 24-27, 1999, Proceedings

Häftad Engelska, 1999-06-01
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These are the refereed proceedings of the 9th International Conference on Inductive Logic Programming. They range from foundational and methodological issues to applications in natural language processing, knowledge discovery and data mining.
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Innehållsförteckning

I Invited Papers.- Probabilistic Relational Models.- Inductive Databases.- Some Elements of Machine Learning.- II Contributed Papers.- Refinement Operators Can Be (Weakly) Perfect.- Combining Divide-and-Conquer and Separate-and-Conquer for Efficient and Effective Rule Induction.- Refining Complete Hypotheses in ILP.- Acquiring Graphic Design Knowledge with Nonmonotonic Inductive Learning.- Morphosyntactic Tagging of Slovene Using Progol.- Experiments in Predicting Biodegradability.- 1BC: A First-Order Bayesian Classifier.- Sorted Downward Refinement: Building Background Knowledge into a Refinement Operator for Inductive Logic Programming.- A Strong Complete Schema for Inductive Functional Logic Programming.- Application of Different Learning Methods to Hungarian Part-of-Speech Tagging.- Combining LAPIS and WordNet for the Learning of LR Parsers with Optimal Semantic Constraints.- Learning Word Segmentation Rules for Tag Prediction.- Approximate ILP Rules by Backpropagation Neural Network: A Result on Thai Character Recognition.- Rule Evaluation Measures: A Unifying View.- Improving Part of Speech Disambiguation Rules by Adding Linguistic Knowledge.- On Sufficient Conditions for Learnability of Logic Programs from Positive Data.- A Bounded Search Space of Clausal Theories.- Discovering New Knowledge from Graph Data Using Inductive Logic Programming.- Analogical Prediction.- Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms.- Theory Recovery.- Instance based function learning.- Some Properties of Inverse Resolution in Normal Logic Programs.- An Assessment of ILP-assisted models for toxicology and the PTE-3 experiment.