Probabilistic Graphical Models : Principles and Applications /

This fully updated new edition of a uniquely accessible textbook/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective. It features new material on partially observable Markov decision processes, graphical models, and deep learning, as wel...

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Bibliographic Details

Main Author:	Sucar, Luis Enrique (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	2nd ed. 2021.
Series:	Advances in Computer Vision and Pattern Recognition,
Subjects:	Mathematical statistics. Artificial intelligence. Pattern recognition. Probabilities. Electrical engineering. Probability and Statistics in Computer Science. Artificial Intelligence. Pattern Recognition. Probability Theory and Stochastic Processes. Electrical Engineering. Electronic books.
Online Access:	Connect to the full text of this electronic book