Cover image for Probabilistic Graphical Models Principles and Applications
Title:
Probabilistic Graphical Models Principles and Applications
Author:
Sucar, Luis Enrique. author.
ISBN:
9781447166993
Edition:
1st ed. 2015.
Physical Description:
XXIV, 253 p. 117 illus., 4 illus. in color. online resource.
Series:
Advances in Computer Vision and Pattern Recognition,
Contents:
Part I: Fundamentals -- Introduction -- Probability Theory -- Graph Theory -- Part II: Probabilistic Models -- Bayesian Classifiers -- Hidden Markov Models -- Markov Random Fields -- Bayesian Networks: Representation and Inference -- Bayesian Networks: Learning -- Dynamic and Temporal Bayesian Networks -- Part III: Decision Models -- Decision Graphs -- Markov Decision Processes -- Part IV: Relational and Causal Models -- Relational Probabilistic Graphical Models -- Graphical Causal Models.
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