Inductive Logic Programming: 13th International Conference, ILP 2003 Szeged, Hungary, September 29-October 1, 2003 Proceedings (Lecture Notes in Computer Science)

Tam�s Horv�th, Akihiro Yamamoto

ISBN 10: 3540201440 / ISBN 13: 9783540201441

Published by Springer 2009-02-22, 2009

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Seller Inventory # 6666-IUK-9783540201441

Bibliographic Details

• Title: Inductive Logic Programming: 13th International Conference, ILP 2003 Szeged, Hungary, September 29-October 1, 2003 Proceedings (Lecture Notes in Computer Science)
• Publisher: Springer 2009-02-22
• Publication Date: 2009
• Language: English
• ISBN 10: 3540201440
• ISBN 13: 9783540201441
• Binding: Paperback
• Condition: New

About this title

Synopsis

The13thInternationalConferenceonInductive LogicProgramming(ILP 2003), organizedbytheDepartmentofInformaticsattheUniversityofSzeged, washeld between September 29 and October 1, 2003 in Szeged, Hungary. ILP 2003 was co-located with the Kalm´ ar Workshop on Logic and Computer Science devoted to the workofL´ aszl´oKalm´ arandto recentresultsinlogicandcomputerscience. This volume contains all full papers presented at ILP 2003, together with the abstracts of the invited lectures by Ross D. King (University of Wales, Aber- twyth) and John W. Lloyd (Australian National University, Canberra). TheILP conferenceseries, startedin1991, wasoriginallydesignedto provide an international forum for the presentation and discussion of the latest research resultsinallareasoflearninglogicprograms.InrecentyearsthescopeofILPhas been broadened to cover theoretical, algorithmic, empirical, and applicational aspects of learning in non-propositional logic, multi-relational learning and data mining, and learning from structured and semi-structured data. The program committee received altogether 58 submissions in response to the call for papers, of which 5 were withdrawn by the authors themselves. Out of the remaining 53 submissions, the program committee selected 23 papers for full presentation at ILP 2003. High reviewing standards were applied for the selection of the papers. For the ?rst time, the "Machine Learning" journal awarded the best student papers. The awards were presented to Marta Arias for her theoretical paper withRoniKhardon: ComplexityParametersforFirst-OrderClasses, andtoKurt DriessensandThomasG] artnerfortheirjointalgorithmicpaperwithJanRamon: Graph Kernels and Gaussian Processes for Relational Reinforcement Learning.