
Graphical Models
Foundations of Neural Computation
Bradford Books (Publisher)
Published on 12. October 2001
Book
Paperback/Softback
434 pages
978-0-262-60042-2 (ISBN)
Description
This book exemplifies the interplay between the general formal framework of graphical models and the exploration of new algorithm and architectures. The selections range from foundational papers of historical importance to results at the cutting edge of research.Graphical models use graphs to represent and manipulate joint probability distributions. They have their roots in artificial intelligence, statistics, and neural networks. The clean mathematical formalism of the graphical models framework makes it possible to understand a wide variety of network-based approaches to computation, and in particular to understand many neural network algorithms and architectures as instances of a broader probabilistic methodology. It also makes it possible to identify novel features of neural network algorithms and architectures and to extend them to more general graphical models.This book exemplifies the interplay between the general formal framework of graphical models and the exploration of new algorithms and architectures. The selections range from foundational papers of historical importance to results at the cutting edge of research.ContributorsH. Attias, C. M. Bishop, B. J. Frey, Z. Ghahramani, D. Heckerman, G. E. Hinton, R. Hofmann, R. A. Jacobs, Michael I. Jordan, H. J. Kappen, A. Krogh, R. Neal, S. K. Riis, F. B. Rodríguez, L. K. Saul, Terrence J. Sejnowski, P. Smyth, M. E. Tipping, V. Tresp, Y. Weiss
More details
Series
Language
English
Place of publication
Massachusetts
United States
Publishing group
MIT Press Ltd
Target group
College/higher education
Professional and scholarly
Interest Age: From 18 years
Product notice
Paperback (trade)
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 25 mm
Weight
599 gr
ISBN-13
978-0-262-60042-2 (9780262600422)
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Schweitzer Classification
Persons
Michael I. Jordan is Professor of Computer Science and of Statistics at the University of California, Berkeley, and recipient of the ACM/AAAI Allen Newell Award.
Editor
University of California, Berkeley
Francis Crick ProfessorSalk Institute for Biological Studies