Hybrid Random Fields: A Scalable Approach to Structure and Parameter Learning in Probabilistic Graphical Models - Intelligent Systems Reference Library - Antonino Freno - Books - Springer-Verlag Berlin and Heidelberg Gm - 9783642203077 - May 26, 2011
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Hybrid Random Fields: A Scalable Approach to Structure and Parameter Learning in Probabilistic Graphical Models - Intelligent Systems Reference Library 2011 edition

Antonino Freno

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Hybrid Random Fields: A Scalable Approach to Structure and Parameter Learning in Probabilistic Graphical Models - Intelligent Systems Reference Library 2011 edition

"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 Universitet

228 pages, biography

Media Books     Hardcover Book   (Book with hard spine and cover)
Released May 26, 2011
ISBN13 9783642203077
Publishers Springer-Verlag Berlin and Heidelberg Gm
Pages 210
Dimensions 155 × 235 × 14 mm   ·   521 g
Language English  

See all of Antonino Freno ( e.g. Hardcover Book and Paperback Book )