Neural Network Learning
Language: English
Published by Cambridge University Press, GB, 1999
- Hardcover
- New
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
AbeBooks seller since June 11, 2025
Condition: New
£ 168.01
Quantity: Over 20 available
Add to basketItem description from seller
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. Research on pattern classification with binary-output networks is surveyed, including a discussion of the relevance of the Vapnik-Chervonenkis dimension, and calculating estimates of the dimension for several neural network models. A model of classification by real-output networks is developed, and the usefulness of classification with a 'large margin' is demonstrated. The authors explain the role of scale-sensitive versions of the Vapnik-Chervonenkis dimension in large margin classification, and in real prediction. They also discuss the computational complexity of neural network learning, describing a variety of hardness results, and outlining two efficient constructive learning algorithms. The book is self-contained and is intended to be accessible to researchers and graduate students in computer science, engineering, and mathematics.…
Seller Inventory # LU-9780521573535
- Title
- Neural Network Learning
- Author
- Martin Anthony, Peter L. Bartlett
- Publisher
- Cambridge University Press, GB
- Publication year
- 1999
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 052157353X
- ISBN 13
- 9780521573535
- Item weight
- 760 grams
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Rarewaves.com UK
London, United Kingdom
AbeBooks seller since June 11, 2025
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