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

Inductive Logic Programming

11th International Conference, Ilp 2001, Strasbourg, France, September 9-11, 2001. Proceedings

By: Celine Rouveirol (Editor), Michele Sebag (Editor)

Paperback Published: 29th August 2001
ISBN: 9783540425380
Number Of Pages: 259

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The 11th international conference on Inductive Logic Programming, ILP2001, was held in Strasbourg, France, September 9-11, 2001. ILP2001 was co-located withthe3rdinternationalworkshoponLogic, Learning, andLanguage(LLL2001), and nearly co-located with the joint 12th European Conference on Machine Learning (ECML2001) and 5th European conference on Principles and Practice of Knowledge Discovery in Databases (PKDD2001). Continuing a series of international conferences devoted to Inductive Logic Programming and Relational Learning, ILP2001 is the central annual event for researchersinterestedinlearningstructuredknowledgefromstructuredexamples and background knowledge. One recent one major challenge for ILP has been to contribute to the ex- nentialemergenceofDataMining, andtoaddressthehandlingofmulti-relational databases. On the one hand, ILP has developed a body of theoretical results and algorithmicstrategiesforexploringrelationaldata, essentiallybutnotexclusively from a supervised learning viewpoint. These results are directly relevant to an e?cient exploration of multi-relational databases. Ontheotherhand, DataMiningmightrequirespeci?crelationalstrategiesto be developed, especially with regard to the scalability issue. The near-colocation of ILP2001 with ECML2001-PKDD2001 was an incentive to increase cro- fertilization between the ILP relational savoir-faire and the new problems and learning goals addressed and to be addressed in Data Mining. Thirty-seven papers were submitted to ILP, among which twenty-one were selected and appear in these proceedings. Several - non-disjoint - trends can be observed, along an admittedly subjective clustering. On the theoretical side, a new mode of inference is proposed by K. Inoue, analog to the open-ended mode of Bayesian reasoning (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.

A Refinement Operator for Theoriesp. 1
Learning Logic Programs with Neural Networksp. 15
A Genetic Algorithm for Propositionalizationp. 27
Classifying Uncovered Examples by Rule Stretchingp. 41
Relational Learning Using Constrained Confidence-Rated Boostingp. 51
Induction, Abduction, and Consequence-Findingp. 65
From Shell Logs to Shell Scriptsp. 80
An Automated ILP Server in the Field of Bioinformaticsp. 91
Adaptive Bayesian Logic Programsp. 104
Towards Combining Inductive Logic Programming with Bayesian Networksp. 118
Demand-Driven Construction of Structural Features in ILPp. 132
Transformation-Based Learning Using Multirelational Aggregationp. 142
Discovering Associations between Spatial Objects An ILP Applicationp. 156
¿-Subsumption in a Constraint Satisfaction Perspectivep. 164
Learning to Parse from a Treebank: Combining TBL and ILPp. 179
Induction of Stable Modelsp. 193
Application of Pruning Techniques for Propositional Learning to Progolp. 206
Application of ILP to Cardiac Arrhythmia Characterization for Chronicle Recognitionp. 220
Efficient Cross-Validation in ILPp. 228
Modelling Semi-structured Documents with Hedges for Deduction and Inductionp. 240
Learning Functions from Imperfect Positive Datap. 248
Author Indexp. 261
Table of Contents provided by Publisher. All Rights Reserved.

ISBN: 9783540425380
ISBN-10: 3540425381
Series: Lecture Notes in Computer Science
Audience: General
Format: Paperback
Language: English
Number Of Pages: 259
Published: 29th August 2001
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.39 x 15.6  x 1.47
Weight (kg): 0.39