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Advanced methodologies for Bayesian ...
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(1998 :)
Advanced methodologies for Bayesian networkssecond International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015 : proceedings /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Advanced methodologies for Bayesian networksedited by Joe Suzuki, Maomi Ueno.
其他題名:
second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015 : proceedings /
其他題名:
AMBN 2015
其他作者:
Suzuki, Joe.
團體作者:
出版者:
Cham :Springer International Publishing :2015.
面頁冊數:
xviii, 265 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Artificial intelligence
電子資源:
http://dx.doi.org/10.1007/978-3-319-28379-1
ISBN:
9783319283791$q(electronic bk.)
Advanced methodologies for Bayesian networkssecond International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015 : proceedings /
Advanced methodologies for Bayesian networks
second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015 : proceedings /[electronic resource] :AMBN 2015edited by Joe Suzuki, Maomi Ueno. - Cham :Springer International Publishing :2015. - xviii, 265 p. :ill., digital ;24 cm. - Lecture notes in computer science,95050302-9743 ;. - Lecture notes in computer science ;4891..
Effectiveness of graphical models including modeling. Reasoning, model selection -- Logic-probability relations -- Causality. Applying graphical models in real world settings -- Scalability -- Incremental learning -- Parallelization.
This volume constitutes the refereed proceedings of the Second International Workshop on Advanced Methodologies for Bayesian Networks, AMBN 2015, held in Yokohama, Japan, in November 2015. The 18 revised full papers and 6 invited abstracts presented were carefully reviewed and selected from numerous submissions. In the International Workshop on Advanced Methodologies for Bayesian Networks (AMBN), the researchers explore methodologies for enhancing the effectiveness of graphical models including modeling, reasoning, model selection, logic-probability relations, and causality. The exploration of methodologies is complemented discussions of practical considerations for applying graphical models in real world settings, covering concerns like scalability, incremental learning, parallelization, and so on.
ISBN: 9783319283791$q(electronic bk.)
Standard No.: 10.1007/978-3-319-28379-1doiSubjects--Topical Terms:
252958
Artificial intelligence
LC Class. No.: Q334
Dewey Class. No.: 006.3
Advanced methodologies for Bayesian networkssecond International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015 : proceedings /
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