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Type: BOOK - Published: 2008 - Publisher: Now Publishers Inc

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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
Bayesian Reasoning and Machine Learning
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Type: BOOK - Published: 2012-02-02 - Publisher: Cambridge University Press

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A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus.
Graphical Models
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Graphical models are of increasing importance in applied statistics, and in particular in data mining. Providing a self-contained introduction and overview to l
Graph Representation Learning
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Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational induct