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Approximation methods for efficient ...

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Riggelsen, Carsten.

Approximation methods for efficient learning of Bayesian networks

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Approximation methods for efficient learning of Bayesian networksCarsten Riggelsen.
作者:	Riggelsen, Carsten.
出版者:	Amsterdam ;IOS Press,c2008.
面頁冊數:	vii, 137 p. :ill. ;25 cm.
叢書名:	Frontiers in artificial intelligence and applications ;
標題:	Bayesian statistical decision theory.
電子資源:	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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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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