Unsupervised Learning (häftad)
Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
414
Utgivningsdatum
1999-05-01
Upplaga
illustrated ed
Förlag
Bradford Books
Illustrationer
Illustrations
Dimensioner
227 x 150 x 25 mm
Vikt
540 g
Antal komponenter
1
ISBN
9780262581684
Unsupervised Learning (häftad)

Unsupervised Learning

Foundations of Neural Computation

Häftad Engelska, 1999-05-01
519
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Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computation collects, 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.
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Övrig information

Geoffrey Hinton is Professor of Computer Science at the University of Toronto. Terrence J. Sejnowski holds the Francis Crick Chair at the Salk Institute for Biological Studies and is a Distinguished Professor at the University of California, San Diego. He was a member of the advisory committee for the Obama administration's BRAIN initiative and is President of the Neural Information Processing (NIPS) Foundation. He has published twelve books, including (with Patricia Churchland) The Computational Brain (25th Anniversary Edition, MIT Press). Tomaso A. Poggio is Eugene McDermott Professor in the Department of Brain and Cognitive Sciences at MIT, where he is also Director of the Center for Brains, Minds, and Machines and Codirector of the Center for Biological and Computational Learning. He is coeditor of Perceptual Learning (MIT Press).