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Titlebook: Innovations in Bayesian Networks; Theory and Applicati Dawn E. Holmes,Lakhmi C. Jain (Professor of Knowle Book 2008 Springer-Verlag Berlin

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书目名称Innovations in Bayesian Networks
副标题Theory and Applicati
编辑Dawn E. Holmes,Lakhmi C. Jain (Professor of Knowle
视频video
概述Presents the innovative paradigms related to the theory and practical applications of Bayesian Networks
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Innovations in Bayesian Networks; Theory and Applicati Dawn E. Holmes,Lakhmi C. Jain (Professor of Knowle Book 2008 Springer-Verlag Berlin
描述.Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. Each of the twelve chapters is self-contained....Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Graduate students since it shows the direction of current research..
出版日期Book 2008
关键词Bayesian Networks; Bayesian network; Learning Bayesian networks; Topologie; artificial intelligence; comp
版次1
doihttps://doi.org/10.1007/978-3-540-85066-3
isbn_softcover978-3-642-09875-8
isbn_ebook978-3-540-85066-3Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2008
The information of publication is updating

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Dawn E. Holmes,Lakhmi C. Jain (Professor of KnowlePresents the innovative paradigms related to the theory and practical applications of Bayesian Networks
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The Causal Interpretation of Bayesian Networks, human understanding and with computational mechanisms supportive of probabilistic reasoning (updating). But the interpretation of Bayesian networks assumed by causal discovery algorithms is causal: the links in the graphs specifically represent direct causal connections between variables. However,
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