Jud
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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