Synopsis
This book describes theoretical advances in the study of artificial neural networks.
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Review
'The book is a useful and readable mongraph. For beginners it is a nice introduction to the subject, for experts a valuable reference.' Zentralblatt MATH
Book Description
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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Neural Network Learning: Theoretical Foundations
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Neural Network Learning
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Neural network learning theoretical foundations Martin Anthony and Peter L. Bartlett.
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Cambridge, Cambridge University Press, 1999
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ISBN 13: 9780521573535
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