On-Line Learning in Neural Networks

Name: On-Line Learning in Neural Networks
SKU: 2161006
Price: 397.99 AUD
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Hardback

Series:

Publications of the Newton Institute

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Description

On-line learning is one of the most powerful and commonly used techniques for training large layered networks, and has been used successfully in many real-world applications. Traditional analytical methods have been recently complemented by ones from statistical physics and Bayesian statistics. This powerful combination of analytical methods provides more insight and deeper understanding of existing algorithms, and leads to novel and principled proposals for their improvement. This book presents a coherent picture of the state-of-the-art in the theoretical analysis of on-line learning. An introduction relates the subject to other developments in neural networks and explains the overall picture. Surveys by leading experts in the field combine new and established material and enable non-experts to learn more about the techniques and methods used. This book, the first in the area, provides a comprehensive view of the subject and will be welcomed by mathematicians, scientists and engineers, whether in industry or academia.

Release date Australia

January 28th, 1999

Audience

Professional & Vocational

Contributor

Edited by David Saad

Illustrations

40 Line drawings, unspecified

Pages

412

Series

Publications of the Newton Institute

Dimensions

159x236x30

ISBN-13

9780521652636

Product ID

2161006

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On-Line Learning in Neural Networks

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