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Titlebook: Machine Learning: ECML‘97; 9th European Confere Maarten Someren,Gerhard Widmer Conference proceedings 1997 Springer-Verlag Berlin Heidelber

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书目名称Machine Learning: ECML‘97
副标题9th European Confere
编辑Maarten Someren,Gerhard Widmer
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Machine Learning: ECML‘97; 9th European Confere Maarten Someren,Gerhard Widmer Conference proceedings 1997 Springer-Verlag Berlin Heidelber
描述This book constitutes the refereed proceedings of the Ninth European Conference on Machine Learning, ECML-97, held in Prague, Czech Republic, in April 1997..This volume presents 26 revised full papers selected from a total of 73 submissions. Also included are an abstract and two papers corresponding to the invited talks as well as descriptions from four satellite workshops. The volume covers the whole spectrum of current machine learning issues.
出版日期Conference proceedings 1997
关键词Algorithmisches lernen; Entscheidungstheorie; Induktives Logisches Programmieren; Lernende Agenten; Masc
版次1
doihttps://doi.org/10.1007/3-540-62858-4
isbn_softcover978-3-540-62858-3
isbn_ebook978-3-540-68708-5Series 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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Learning when negative examples abound,le brought about by imbalanced training sets and presents a learning algorithm addressing this issue. The experiments (with synthetic and real-world data) focus on 2-class problems with examples described with binary and continuous attributes.
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Constructing and sharing perceptual distinctions,The paper describes a mechanism whereby agents generate perceptual distinctions through a series of adaptive discrimination games and share these distinctions through adaptive language games. Results from computer simulations as well as experiments on robotic agents are presented.
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620759.jpg
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Induction of feature terms with INDIE,ibute-value representation. Feature terms have been studied to formalize object-centered representation in declarative languages and can be seen as a subset of first-order logic. We present a representation formalism based on feature terms and we show how induction can be performed in a natural way
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Exploiting qualitative knowledge to enhance skill acquisition,ing to perform motor tasks, a problem known as .. A very difficult purpose because the overwhole behavior of an agent is the result of quite a complex activity, involving sensory, planning and motor processing. In this paper, I present a novel approach for acquiring new skills, named ., that is char
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