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book
 Neural Network Learning : Theoretical Foundations
This book describes recent theoretical advances in the study of artificial neural networks.
It explores probabilistic models of supervised learning problems, and addresses the key statistical and computational questions.
The authors also discuss the computational complexity of neural network learning, describing a variety of hardness results, and outlining two efficient constructive learning algorithms.
preview:
http://www.amazon.com
6/25/2000
Tags: neural networks
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