國立高雄大學圖資館 |

Language: English

Back

Advanced methodologies for Bayesian ...

(1998 :)

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advanced methodologies for Bayesian networksedited 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:
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$q(electronic bk.)

Advanced methodologies for Bayesian networkssecond 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 ;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 /
LDR:02190nmm a2200349 a 4500 001 477834
003 DE-He213
005 20160524152910.0
006 m d
007 cr nn 008maaau
008 160614s2015 gw s 0 eng d
020 $a 9783319283791$q(electronic bk.)
020 $a 9783319283784$q(paper)
024 7 $a 10.1007/978-3-319-28379-1 $2 doi
035 $a 978-3-319-28379-1
040 $a GP $c GP
041 0 $a eng
050 4 $a Q334
072 7 $a UYQ $2 bicssc
072 7 $a TJFM1 $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 006.3 $2 23
090 $a Q334 $b .I61 2015
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Advanced methodologies for Bayesian networks $h [electronic resource] : $b second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015 : proceedings / $c edited by Joe Suzuki, Maomi Ueno.
246 3 $a AMBN 2015
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xviii, 265 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 9505
505 0 $a Effectiveness of graphical models including modeling. Reasoning, model selection -- Logic-probability relations -- Causality. Applying graphical models in real world settings -- Scalability -- Incremental learning -- Parallelization.
520 $a 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.
650 0 $a Artificial intelligence $3 252958
650 0 $a Bayesian statistical decision theory $v Textbooks. $3 443102
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 273702
650 2 4 $a Probability and Statistics in Computer Science. $3 274053
650 2 4 $a Computation by Abstract Devices. $3 273703
650 2 4 $a Database Management. $3 273994
650 2 4 $a Information Systems Applications (incl. Internet) $3 530743
700 1 $a Suzuki, Joe. $3 732855
700 1 $a Ueno, Maomi. $3 732856
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-28379-1
950 $a Computer Science (Springer-11645)