[PDF.97ex] Graphical Models, Exponential Families, and Variational Inference (Foundations and Trends(r) Machine Learning)

Graphical Models, Exponential Families, and Variational Inference (Foundations and Trends(r) Machine Learning)

[PDF.rx86] Graphical Models, Exponential Families, and Variational Inference (Foundations and Trends(r) Machine Learning)

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 | #1994034 in Books |  Now Publishers Inc |  2008-12-16 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.21 x.68 x6.14l,1.00 | File type: PDF | 324 pages

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The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate statistical models. Graphical models have become a focus of research in many statistical, computational and mathematical fields, including bioinformatics, communication theory, statistical physics, combinatorial optimization, signal and image processing, information retrieval and statistical machine...

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