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Advanced methodologies for Bayesian networks[electronic resource] :second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015 : proceedings /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.3
書名/作者:	Advanced methodologies for Bayesian networks : second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015 : proceedings // edited by Joe Suzuki, Maomi Ueno.
其他題名:	AMBN 2015
其他作者:	Suzuki, Joe.
團體作者:	Clark Conference
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
標題:	Bayesian statistical decision theory - Congresses.
標題:	Computer Science.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Algorithm Analysis and Problem Complexity.
標題:	Probability and Statistics in Computer Science.
標題:	Computation by Abstract Devices.
標題:	Database Management.
標題:	Information Systems Applications (incl. Internet)
ISBN:	9783319283791
ISBN:	9783319283784
內容註:	Effectiveness of graphical models including modeling. Reasoning, model selection -- Logic-probability relations -- Causality. Applying graphical models in real world settings -- Scalability -- Incremental learning -- Parallelization.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-28379-1

Advanced methodologies for Bayesian networks[electronic resource] :second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015 : proceedings /
Advanced methodologies for Bayesian networkssecond 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 ;7103..

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

Standard No.: 10.1007/978-3-319-28379-1doiSubjects--Topical Terms:

135215
Artificial intelligence

LC Class. No.: Q334

Dewey Class. No.: 006.3

Advanced methodologies for Bayesian networks[electronic resource] :second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015 : proceedings /
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