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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Advanced methodologies for Bayesian networks/ edited by Joe Suzuki, Maomi Ueno.
Reminder of title:	second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015 : proceedings /
remainder title:	AMBN 2015
other author:	Suzuki, Joe.
corporate name:	Workshop on the Preservation of Stability under Discretization
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xviii, 265 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Artificial intelligence -
Online resource:	http://dx.doi.org/10.1007/978-3-319-28379-1
ISBN:	9783319283791

Advanced methodologies for Bayesian networks = 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 ;6140..

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:

671585
Artificial intelligence

LC Class. No.: Q334

Dewey Class. No.: 006.3

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