Unsupervised Learning: Foundations of Neural Computation

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Geoffrey Hinton, Terrence J. Sejnowski
MIT Press, 1999. gada 24. maijs - 418 lappuses
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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Saturs

Local Synaptic Learning Rules Suffice to Maximize Mutual Information
19
Emergence of PositionIndependent Detectors of Sense of Rotation
47
Learning Invariance from Transformation Sequences
63
What Is the Goal of Sensory Coding?
101
An InformationMaximization Approach to Blind Separation and Blind
145
Natural Gradient Works Efficiently in Learning
177
A Fast FixedPoint Algorithm for Independent Component Analysis
203
Learning Mixture Models of Spatial Coherence
223
Finding Minimum Entropy Codes
249
Factor Analysis Using DeltaRule WakeSleep Learning
293
Dimension Reduction by Local Principal Component Analysis
317
A ResourceAllocating Network for Function Interpolation
341
Clustering with Point and Graph
355
Learning to Generalize from Single Examples in the Dynamic Link
373
Index
391
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Par autoru (1999)

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 is the author of The Deep Learning Revolution (MIT Press) and other books.

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