
Graphical Models for Machine Learning and Digital Communication
Brendan J. Frey(Author)
MIT Press
Published on 8. July 1998
Book
Hardback
211 pages
978-0-262-06202-2 (ISBN)
Description
A variety of problems in machine learning and digital communication deal with complex but structured natural or artificial systems. In this book, Brendan Frey uses graphical models as an overarching framework to describe and solve problems of pattern classification, unsupervised learning, data compression, and channel coding. Using probabilistic structures such as Bayesian belief networks and Markov random fields, he is able to describe the relationships between random variables in these systems and to apply graph-based inference techniques to develop new algorithms. Among the algorithms described are the wake-sleep algorithm for unsupervised learning, the iterative turbodecoding algorithm (currently the best error-correcting decoding algorithm), the bits-back coding method, the Markov chain Monte Carlo technique, and variational inference.
More details
Series
Language
English
Place of publication
Cambridge, Mass.
United States
Publishing group
MIT Press Ltd
Target group
College/higher education
Professional and scholarly
Interest Age: From 18 years
Dimensions
Height: 229 mm
Width: 157 mm
Thickness: 20 mm
Weight
476 gr
ISBN-13
978-0-262-06202-2 (9780262062022)
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Schweitzer Classification