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Hybrid random fields = a scalable approach to structure and parameter learning in probabilistic graphical models /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Hybrid random fields/ by Antonino Freno, Edmondo Trentin.
Reminder of title:	a scalable approach to structure and parameter learning in probabilistic graphical models /
Author:	Freno, Antonino.
other author:	Trentin, Edmondo.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg, : 2011.,
Description:	xvi, 207 p. :ill., digital ; : 24 cm.;
Series:	Intelligent systems reference library,
Contained By:	Springer eBooks
Subject:	Graphical modeling (Statistics) -
Online resource:	http://dx.doi.org/10.1007/978-3-642-20308-4
ISBN:	9783642203084 (electronic bk.)

Hybrid random fields = a scalable approach to structure and parameter learning in probabilistic graphical models /
Freno, Antonino.

Hybrid random fieldsa scalable approach to structure and parameter learning in probabilistic graphical models /[electronic resource] :by Antonino Freno, Edmondo Trentin. - Berlin, Heidelberg :Springer Berlin Heidelberg,2011. - xvi, 207 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.151868-4394 ;.

ISBN: 9783642203084 (electronic bk.)Subjects--Topical Terms:

785858
Graphical modeling (Statistics)

LC Class. No.: QA279 / .F74 2011

Dewey Class. No.: 519.5

Hybrid random fields = a scalable approach to structure and parameter learning in probabilistic graphical models /
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