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Computational learning theory / Artificial neural networks / Machine learning / Computational statistics / Learning / VC dimension / Sample complexity / Probably approximately correct learning / Backpropagation / Perceptron / Vladimir Vapnik / Radial basis function network
Date: 2000-04-03 14:19:07
Computational learning theory
Artificial neural networks
Machine learning
Computational statistics
Learning
VC dimension
Sample complexity
Probably approximately correct learning
Backpropagation
Perceptron
Vladimir Vapnik
Radial basis function network

PAC Learning and Artificial Neural Networks Martin Anthony and Norman Biggs Department of Mathematics, London School of Economics and Political Science (University of London), Houghton St., London WC2A 2AE, United Kingdo

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