Titre: Graphical Models for Machine Learning and Digital Communication (Adaptive Computation and Machine Learning)
�diteur: Bradford Books
Date de parution: 1998
Langue: anglais
ISBN � 10 chiffres: 026206202X
ISBN � 13 chiffres: 9780262062022
Reliure: Hardcover
�tat de l'article: Very Good
�tat de la jaquette: No Jacket
Poids: 1,1�livre

A propos de ce titre

Synopsis

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.

� propos de l?auteur

Brendan Frey is Professor in the Department of Electrical and Computer Engineering, Banting and Best Department of Medical Research, and the Department of Computer Science at the University of Toronto.

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