Neural Network Learning: Theoretical Foundations


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About The Book

This book describes 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. It is intended to be accessible to researchers and graduate students in computer science engineering and mathematics.
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