Unsupervised Learning: Foundations of Neural Computation Contributor(s): Hinton, Geoffrey (Editor), Sejnowski, Terrence J. (Editor) |
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ISBN: 026258168X ISBN-13: 9780262581684 Publisher: MIT Press (MA) OUR PRICE: $49.50 Product Type: Paperback - Other Formats Published: May 1999 Annotation: This volume, 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. |
Additional Information |
BISAC Categories: - Medical | Neuroscience - Psychology | Neuropsychology - Computers | Computer Science |
Dewey: 612.82 |
LCCN: 98-14784 |
Series: Computational Neuroscience |
Physical Information: 0.85" H x 6.07" W x 9.15" (1.32 lbs) 418 pages |
Descriptions, Reviews, Etc. |
Publisher Description: 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. |
Contributor Bio(s): Hinton, Geoffrey: - Geoffrey Hinton is Professor of Computer Science at the University of Toronto.Poggio, Tomaso A.: - 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).Sejnowski, Terrence J.: - 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 is the author of The Deep Learning Revolution (MIT Press) and other books. |