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language: english
Publisher: CAMBRIDGE UNIVERSITY PRESS, November of 1999 ‧
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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.

Neural Network Learning

Theoretical Foundations

by Martin Anthony, Peter L. (Australian National University, Canberra) Bartlett e Martin (London School Of Economics And Political Science) Anthony

Property Description
ISBN: 9780521573535
Publisher: CAMBRIDGE UNIVERSITY PRESS
Release Date: November of 1999
Language: English
Cover: Hardcover
Pages: 404
Format: Book
Categories: Books in English > Computing > Other Applications
EAN: 9780521573535