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Paperback | $40.00 X | £29.95 | ISBN: 9780262581684 | 414 pp. | 6 x 9 in | May 1999
eBook | $28.00 X | ISBN: 9780262338554 | 414 pp. | June 2016

Unsupervised Learning

Foundations of Neural Computation


Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computationcollects, by topic, the most significant papers that have appeared in the journal over the past nine years.This volume of Foundations of Neural Computation, on unsupervised learning algorithms, focuses on neural network learning algorithms that do not require an explicit teacher. The goal of unsupervised learning is to extract an efficient internal representation of the statistical structure implicit in the inputs. These algorithms provide insights into the development of the cerebral cortex and implicit learning in humans. They are also of interest to engineers working in areas such as computer vision and speech recognition who seek efficient representations of raw input data.

About the Editors

Geoffrey Hinton is Professor of Computer Science at the University of Toronto.

Terrence J. Sejnowski is Francis Crick Professor and Director of the Computational Neurobiology Laboratory at the Salk Institute, an Investigator at the Howard Hughes Medical Institute, and Distinguished Professor at the University of California, San Diego. He was a member of the advisory committee for President Obama’s BRAIN Initiative.