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Titlebook: Inductive Logic Programming; 8th International Co David Page Conference proceedings 1998 Springer-Verlag Berlin Heidelberg 1998 Algorithmic

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书目名称Inductive Logic Programming
副标题8th International Co
编辑David Page
视频videohttp://file.papertrans.cn/464/463894/463894.mp4
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Inductive Logic Programming; 8th International Co David Page Conference proceedings 1998 Springer-Verlag Berlin Heidelberg 1998 Algorithmic
描述This book constitutes the refereed proceedings of the 8th International Conference on Inductive Logic Programming, ILP-98, held in Madison, Wisconsin, USA, in July 1998..The 27 revised full papers presented together with the abstracts of three invited talks were carefully reviewed and selected for inclusion in the book. All relevant aspects of inductive logic programming are covered ranging from theory to implementations and applications.
出版日期Conference proceedings 1998
关键词Algorithmic Learning; Inductive Logic Programming; Machine Learning; Reinforcement Learning; Statistical
版次1
doihttps://doi.org/10.1007/BFb0027303
isbn_softcover978-3-540-64738-6
isbn_ebook978-3-540-69059-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1998
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Term comparisons in first-order similarity measures,s. We present an improved similarity measure for the first-order instance based learner . that employs the concept of . to efficiently compute distances between lists and terms, discuss its computational and formal properties, and show that it is empirically superior by a wide margin on a problem from the domain of biochemistry.
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Using ILP-systems for verification and validation of multi-agent systems,he software can be induced from the behaviour of the software. These rules can be readily interpreted by the designers or users of the software, and can in turn result in changes to the software. The approach outlined was tested in the domain of multi-agent systems, more in particular the RoboCup domain.
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0302-9743 Wisconsin, USA, in July 1998..The 27 revised full papers presented together with the abstracts of three invited talks were carefully reviewed and selected for inclusion in the book. All relevant aspects of inductive logic programming are covered ranging from theory to implementations and application
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Combining statistical and relational methods for learning in hypertext domains,ages, and (iii) locating a particular class of information in the internal structure of pages. Our experiments demonstrate that this new approach is able to learn more accurate classifiers than either of its constituent methods alone.
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