Hybrid Random Fields: A Scalable Approach to Structure and Parameter Learning in Probabilistic Graphical Models
Author:   Antonino Freno ,  Edmondo Trentin
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2011 ed.
Volume:   15
ISBN:  

9783642268182


Pages:   210
Publication Date:   15 July 2013
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Hybrid Random Fields: A Scalable Approach to Structure and Parameter Learning in Probabilistic Graphical Models


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Author:   Antonino Freno ,  Edmondo Trentin
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2011 ed.
Volume:   15
Dimensions:   Width: 15.50cm , Height: 1.30cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783642268182


ISBN 10:   3642268188
Pages:   210
Publication Date:   15 July 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- Bayesian Networks.- Markov Random Fields.- Introducing Hybrid Random Fields: Discrete-Valued Variables.- Extending Hybrid Random Fields: Continuous-Valued Variables.- Applications.- Probabilistic Graphical Models: Cognitive Science or Cognitive Technology? ..- Conclusions.

Reviews

From the reviews: This book presents novel probabilistic graphical models, i.e., hybrid random fields. ... the authors have written a very valuable book - rigorous in the treatment on the mathematical background, but also enriched with a very open view of the field, full of stimulating connections. (Jerzy Martyna, zbMATH, Vol. 1278, 2014)


From the reviews: This book presents novel probabilistic graphical models, i.e., hybrid random fields. ... the authors have written a very valuable book - rigorous in the treatment on the mathematical background, but also enriched with a very open view of the field, full of stimulating connections. (Jerzy Martyna, zbMATH, Vol. 1278, 2014)


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