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Hybrid random fieldsa scalable appro...
~
Freno, Antonino.
Hybrid random fieldsa scalable approach to structure and parameter learning in probabilistic graphical models /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Hybrid random fieldsby 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 fieldsa scalable approach to structure and parameter learning in probabilistic graphical models /
Freno, Antonino.
Hybrid random fields
a 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:
191008
Graphical modeling (Statistics)
LC Class. No.: QA279 / .F74 2011
Dewey Class. No.: 519.5
Hybrid random fieldsa scalable approach to structure and parameter learning in probabilistic graphical models /
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a scalable approach to structure and parameter learning in probabilistic graphical models /
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http://dx.doi.org/10.1007/978-3-642-20308-4
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