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Approximation methods for efficient ...

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Riggelsen, Carsten.

Approximation methods for efficient learning of Bayesian networks

Record Type:	Electronic resources : Monograph/item
Title/Author:	Approximation methods for efficient learning of Bayesian networksCarsten Riggelsen.
Author:	Riggelsen, Carsten.
Published:	Amsterdam ;IOS Press,c2008.
Description:	vii, 137 p. :ill. ;25 cm.
Series:	Frontiers in artificial intelligence and applications ;
Subject:	Bayesian statistical decision theory.
Online resource:	http://ebooks.windeal.com.tw/ios/cover.asp?isbn=9781586038212
ISBN:	9781607502982 (electronic bk.)

Approximation methods for efficient learning of Bayesian networks
Riggelsen, Carsten.

Approximation methods for efficient learning of Bayesian networks[electronic resource] /Carsten Riggelsen. - Amsterdam ;IOS Press,c2008. - vii, 137 p. :ill. ;25 cm. - Frontiers in artificial intelligence and applications ;v. 168. - Dissertations in artificial intelligence. - Frontiers in artificial intelligence and applications.Dissertations in artificial intelligence..

Includes bibliographical references (p. [133]-137).

ISBN: 9781607502982 (electronic bk.)

LCCN: 2007942192Subjects--Topical Terms:

182005
Bayesian statistical decision theory.

LC Class. No.: QA279.5 / .R54 2008

Dewey Class. No.: 519.5/42

Approximation methods for efficient learning of Bayesian networks
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010 $a 2007942192
020 $a 9781607502982 (electronic bk.)
020 $a 9781586038212
035 $a (OCoLC)ocn184829247
035 $a 00000011
040 $a BTCTA $c BTCTA $d BAKER $d YDXCP $d OHX $d UUM $d DLC
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050 0 0 $a QA279.5 $b .R54 2008
082 0 0 $a 519.5/42 $2 22
100 1 $a Riggelsen, Carsten. $3 471887
245 1 0 $a Approximation methods for efficient learning of Bayesian networks $h [electronic resource] / $c Carsten Riggelsen.
260 $a Amsterdam ; $a Washington, DC : $b IOS Press, $c c2008.
300 $a vii, 137 p. : $b ill. ; $c 25 cm.
440 0 $a Frontiers in artificial intelligence and applications ; $v v. 168
490 1 $a Dissertations in artificial intelligence
504 $a Includes bibliographical references (p. [133]-137).
650 0 $a Bayesian statistical decision theory. $3 182005
650 0 $a Machine learning. $3 188639
650 0 $a Neural networks (Computer science) $3 181982
830 0 $a Frontiers in artificial intelligence and applications. $p Dissertations in artificial intelligence. $3 471888
856 4 $u http://ebooks.windeal.com.tw/ios/cover.asp?isbn=9781586038212

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http://ebooks.windeal.com.tw/ios/cover.asp?isbn=9781586038212

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