Probabilistic Graphical Models: Principles and Applications by Luis Enrique Sucar PDF

By Luis Enrique Sucar

ISBN-10: 1447166981

ISBN-13: 9781447166986

This available text/reference offers a common advent to probabilistic graphical versions (PGMs) from an engineering viewpoint. The publication covers the basics for every of the most sessions of PGMs, together with illustration, inference and studying ideas, and studies real-world functions for every form of version. those functions are drawn from a vast variety of disciplines, highlighting the numerous makes use of of Bayesian classifiers, hidden Markov versions, Bayesian networks, dynamic and temporal Bayesian networks, Markov random fields, impact diagrams, and Markov selection tactics. beneficial properties: provides a unified framework encompassing the entire major periods of PGMs; describes the sensible program of the several suggestions; examines the newest advancements within the box, protecting multidimensional Bayesian classifiers, relational graphical types and causal types; offers routines, feedback for additional interpreting, and ideas for study or programming initiatives on the finish of every chapter.

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Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition) by Luis Enrique Sucar


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