Probable graphic models. Principles and applications
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This book presents a general introduction into probabilistic grapho models (VGM) from an engineering point of view. The book discusses in detail the theoretical foundations for each of the main classes of the VGM, including the principles and methods of representation, logical output and training, as well as reviews of real practical applications for each model type. Examples of applications are taken from a wide variety of subject areas and clearly demonstrate many options for using Bayesian classifiers, hidden Markov models, Bayesov networks, dynamic and temporary Bayesov networks, Markov random fields, diagrams of influence and Markov decision -making processes
Author:
Author:Sukar Luis Enrique
Cover:
Cover:Soft
Category:
- Category:Computer & Technology
Publication language:
Publication Language:Russian
Paper:
Paper:Offset
ISBN:
ISBN:978-5-97060-874-6
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