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Titlebook: Inductive Logic Programming; 11th International C Céline Rouveirol,Michéle Sebag Conference proceedings 2001 Springer-Verlag Berlin Heidelb

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书目名称Inductive Logic Programming
副标题11th International C
编辑Céline Rouveirol,Michéle Sebag
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Inductive Logic Programming; 11th International C Céline Rouveirol,Michéle Sebag Conference proceedings 2001 Springer-Verlag Berlin Heidelb
出版日期Conference proceedings 2001
关键词Constraint Satisfaction; algorithm; algorithms; data mining; genetic algorithms; learning; logic; machine l
版次1
doihttps://doi.org/10.1007/3-540-44797-0
isbn_softcover978-3-540-42538-0
isbn_ebook978-3-540-44797-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2001
The information of publication is updating

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Efficient Cross-Validation in ILP,iscuss two issues: a) the existence of dependencies between parts of a query that limit the obtainable efficiency improvements and b) the combination of parallel cross-validation with query-packs. Tentative solutions are proposed and evaluated experimentally.
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A Genetic Algorithm for Propositionalization, individual, and general set-based operators to alter one partition or to mix two ones. For propositionalization, operators are extended to change not only the partition but also the associated numeric constraints.
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Towards Combining Inductive Logic Programming with Bayesian Networks,ponents of Bayesian logic programs. More precisely, we show how to combine the ILP setting . with score-based techniques for learning Bayesian networks. Thus, the paper positively answers Koller and Pfeffer’s question, whether techniques from ILP could help to learn the logical component of first order probabilistic models.
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