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Titlebook: Inductive Logic Programming; 7th International Wo Nada Lavrač,Sašo Džeroski Conference proceedings 1997 Springer-Verlag Berlin Heidelberg 1

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书目名称Inductive Logic Programming
副标题7th International Wo
编辑Nada Lavrač,Sašo Džeroski
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Inductive Logic Programming; 7th International Wo Nada Lavrač,Sašo Džeroski Conference proceedings 1997 Springer-Verlag Berlin Heidelberg 1
描述This book constitutes the refereed proceedings of the 7th International Workshop on Inductive Logic Programming, ILP-97, held in Prague, Czech Republic, in September 1997..The volume presents revised versions of nine papers in long version and 17 short papers accepted after a thorough reviewing process. Also included are three invited papers by Usama Fayyad, Jean-Francois Puget, and Georg Gottlob. Among the topics addressed are various logic programming issues, natural language processing, speech processing, abductive learning, data mining, knowledge discovery, and relational database systems.
出版日期Conference proceedings 1997
关键词data mining; knowledge; knowledge discovery; learning; logic; programming; speech processing
版次1
doihttps://doi.org/10.1007/3-540-63514-9
isbn_softcover978-3-540-63514-7
isbn_ebook978-3-540-69587-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1997
The information of publication is updating

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发表于 2025-3-21 21:58:52 | 显示全部楼层
Lookahead and discretization in ILP, We present a simple method for specifying when lookahead is to be used, and what kind of lookahead is interesting. Both the discretization and lookahead techniques are evaluated experimentally. The results show that both techniques improve the quality of the induced theory, while computational costs are acceptable.
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Learning with abduction,cs. An algorithm for an intermediate version of ACL is developed by suitably extending the top-down ILP method and integrating this with an abductive proof procedure for Abductive Logic Programming (ALP). A prototype system has been developed and applied to learning problems with incomplete information.
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Normal forms for inductive logic programming, logic. We define . (ENF), which is Skolemised existential DNF under a Consistent Naming Assumption. Because ENF is incomplete, in the sense that it does not have the expressive power of clausal logic, ENF evidence requires the identification of Skolem terms. The approach is partly implemented in the Primus system.
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On a sufficient condition for the existence of most specific hypothesis in progol,ple and indicated that Muggleton‘s proof contains error. He also gave a sufficient condition under which the MSH exists. In this paper, we give another and more realistic sufficient condition to guarantee the existence of the MSH.
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0302-9743 logic programming issues, natural language processing, speech processing, abductive learning, data mining, knowledge discovery, and relational database systems.978-3-540-63514-7978-3-540-69587-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
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