2018-03-01 13:24:02

Best eBook Deals & Download PDF Advances in Bayesian Networks by José A. Gámez

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In recent years probabilistic graphical models, especially Bayesian networks and decision graphs, have experienced significant theoretical development within areas such as artificial intelligence and statistics. This carefully edited monograph is a compendium of the most recent advances in the area of probabilistic graphical models such as decision graphs, learning from data and inference. It presents a survey of the state of the art of specific topics of recent interest of Bayesian Networks, including approximate propagation, abductive inferences, decision graphs, and applications of influence. In addition, Advances in Bayesian Networks presents a careful selection of applications of probabilistic graphical models to various fields such as speech recognition, meteorology or information retrieval.

Author
José A. Gámez
Publisher
Springer
Date of release
Pages
328
ISBN
9783540208761
Binding
Hardcover
Illustrations
Format
PDF, EPUB, MOBI, TXT, DOC
Rating
4
72

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Advances in Bayesian Networks by José A. Gámez

Page Updated: Mar 01, 2018
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