[PDF.70kv] Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition)

Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition)

[PDF.er46] Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition)

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 | #9624927 in Books |  2016-11-18 |  2016-10-09 | Original language:English | PDF # 1 |  9.25 x.66 x6.10l, | File type: PDF | 253 pages

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||From the Back Cover||This accessible text/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective.|The book covers the fundamentals for each of the main classes of PGMs, including representation, inferen

This accessible text/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective. The book covers the fundamentals for each of the main classes of PGMs, including representation, inference and learning principles, and reviews real-world applications for each type of model. These applications are drawn from a broad range of disciplines, highlighting the many uses of Bayesian classifiers, hidden Markov models, Bayesian...

You can specify the type of files you want, for your device.Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition)   |  Luis Enrique Sucar. Just read it with an open mind because none of us really know.

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