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Graphical Models, Exponential Families, and Variational Inference
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The core of this paper is a general set of variational principles for the problems of computing marginal probabilities and modes, applicable to multivariate sta
Probabilistic Graphical Models
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Authors: Daphne Koller
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Type: BOOK - Published: 2009-07-31 - Publisher: MIT Press

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A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making deci
Handbook of Graphical Models
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Type: BOOK - Published: 2018-11-12 - Publisher: CRC Press

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A graphical model is a statistical model that is represented by a graph. The factorization properties underlying graphical models facilitate tractable computati
Emerging Intelligent Computing Technology and Applications
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Authors: De-Shuang Huang
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This book constitutes the refereed proceedings of the 8th International Conference on Intelligent Computing, ICIC 2012, held in Huangshan, China, in July 2012.
Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics
Language: en
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Authors: Christine Sinoquet
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At the crossroads between statistics and machine learning, probabilistic graphical models (PGMs) provide a powerful formal framework to model complex data. An e