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

This book presents an exciting new synthesis of directed and undirected, discrete and continuous graphical models. Combining elements of Bayesian networks and Markov random fields, the newly introduced hybrid random fields are an interesting approach to get the best of both these worlds, with an add...

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Bibliographic Details

Main Authors:	Freno, Antonino (Author), aTrentin, Edmondo (Author)
Corporate Author:	aSpringerLink (Online service)
Format:	Electronic Resource
Language:	English
Published:	Berlin, Heidelberg Springer Berlin Heidelberg 2011.
Subjects:	Graphical modeling (Statistics). Probabilities. Electronic book.
Online Access:	Available for University of the Philippine Diliman via Springerlink. Click here to access