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

Name: Hybrid Random Fields A Scalable Approach to Structure and Parameter Learning in Probabilistic Graphical Models
Availability: InStock
ISBN: 9783642203084

ISBN-10: 3642203086

ISBN-13: 9783642203084

Edition: 2011

Authors: Antonino Freno, Edmondo Trentin, Edmondo Trentin

List price: $209.00

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Description:

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 added promise of modularity and scalability. The authors have written an enjoyable book---rigorous in the treatment of the mathematical background, but also enlivened by interesting and original historical and philosophical perspectives. -- Manfred Jaeger, Aalborg UniversitetThe book not only marks an effective direction of investigation with significant experimental advances, but it is also---and…

Book details

List price: $209.00
Copyright year: 2011
Publisher: Springer
Publication date: 4/11/2011
Binding: E-Book
Pages: 210
Language: English