book announcement: Brendan Frey, Graphical Models for Machine Learning and Digital Communication

[Jud Wolfskill]

The following is a book which readers of this list might find of
interest.  For more information please visit
http://mitpress.mit.edu/promotions/books/FREGHF98


Graphical Models for Machine Learning and Digital Communication

Brendan J. Frey


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.


Brendan J. Frey is a Beckman Fellow, Beckman Institute for Advanced
Science and Technology, University of Illinois at Urbana-Champaign.


Adaptive Computation and Machine Learning series

A Bradford Book


August 1998

6 x 9, 216 pp., 65 illus. 

cloth 0-262-06202-X


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