Inductive Logic Programming: 13th International Conference, ILP 2003, Szeged, Hungary, September 29 - October 1, 2003, Proceedings.

Tamas and Akihiro Yamamoto Horváth

ISBN 10: 3540201440 / ISBN 13: 9783540201441

Published by Berlin Springer Verlag, 2003

About this Item

Gebraucht - Gut Zustand: Gut, Mängelexemplar, X, 401 p. Also available online. About this book: This book constitutes the refereed proceedings of the 13th International Conference on Inductive Logic Programming, ILP 2003, held in Szeged, Hungary in September/October 2003. The 23 revised full papers presented were carefully reviewed and selected from 53 submissions. Among the topics addressed are multirelational data mining, complexity issues, theory revision, clustering, mathematical discovery, relational reinforcement learning, multirelational learning, inductive inference, description logics, grammar systems, inductive learning, etc. Written for researchers and professionals.

Seller Inventory # 18900

Bibliographic Details

• Title: Inductive Logic Programming: 13th International Conference, ILP 2003, Szeged, Hungary, September 29 - October 1, 2003, Proceedings.
• Publisher: Berlin Springer Verlag
• Publication Date: 2003
• Language: English
• ISBN 10: 3540201440
• ISBN 13: 9783540201441
• Binding: Softcover
• Condition: Gut

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 The program committee received altogether 58 submissions in response to the call for papers, of which 5 were withdrawn by the authors themselves.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.