Probabilistic Graphical Models

丛 书 名：Advances in Computer Vision and Pattern Recognition

版本说明：2

作     者：Luis Enrique Sucar 

I S B N：(纸本) 9783030619428;9783030619459 

出 版 社：Springer Cham 

出 版 年：1000年

页      数：XXVIII, 355页

主 题 词：Probability and Statistics in Computer Science Artificial Intelligence Pattern Recognition Probability Theory and Stochastic Processes Electrical Engineering 

摘      要：The book covers the fundamentals for each of the main classes of PGMs, including representation, inference and learning principles, and reviews real-world applications for each type of model. These applications are drawn from a broad range of disciplines, highlighting the many uses of Bayesian classifiers, hidden Markov models, Bayesian networks, dynamic and temporal Bayesian networks, Markov random fields, influence diagrams, and Markov decision processes.