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Neural Network Learning: Theoretical Foundations
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Neural Network Learning: Theoretical Foundations Paperback - 2009 - 1st Edition

by Martin Anthony; Peter L. Bartlett

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This important work describes recent 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. Chapters survey research on pattern classification with binary-output networks, including a discussion of the relevance of the Vapnik Chervonenkis dimension, and of estimates of the dimension for several neural network models. In addition, Anthony and Bartlett develop a model of classification by real-output networks, and demonstrate the usefulness of classification with a "large margin." The authors explain the role of scale-sensitive versions of the Vapnik Chervonenkis dimension in large margin classification, and in real prediction. Key chapters 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 accessible to researchers and graduate students in computer science, engineering, and mathematics.

Details

  • Title Neural Network Learning: Theoretical Foundations
  • Author Martin Anthony; Peter L. Bartlett
  • Binding Paperback
  • Edition number 1st
  • Edition 1
  • Pages 404
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 2009-08-20
  • ISBN 9780521118620 / 052111862X
  • Weight 1.3 lbs (0.59 kg)
  • Dimensions 9 x 6 x 0.9 in (22.86 x 15.24 x 2.29 cm)
  • Category Computers - Communications / Networking
  • Dewey Decimal Code 006.32

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Neural Network Learning: Theoretical Foundations

Neural Network Learning: Theoretical Foundations

by Martin Anthony

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9780521118620 / 052111862x
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Paperback / softback. New. 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

Neural Network Learning

by Martin Anthony

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Paperback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; 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 a
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Neural Network Learning: Theoretical Foundations
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Neural Network Learning: Theoretical Foundations

by Anthony, Martin

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Neural Network Learning: Theoretical Foundations
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Neural Network Learning: Theoretical Foundations

by Anthony, Martin

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ISBN 10 / ISBN 13
9780521118620 / 052111862X
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Cambridge University Press, 2009-08-20. 1. paperback. New. 6.00x1.01x9.00. Buy with confidence. Excellent Customer Service & Return policy.
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Neural Network Learning: Theoretical Foundations
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Neural Network Learning: Theoretical Foundations

by Anthony, Martin/ Bartlett, Peter L.

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Cambridge Univ Pr, 2009. Paperback. New. 1st edition. 403 pages. 8.75x5.75x0.75 inches.
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Neural Network Learning
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Neural Network Learning

by Martin Anthony, Peter L Bartlett,

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9780521118620 / 052111862x
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Neural Network Learning: Theoretical Foundations
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Neural Network Learning: Theoretical Foundations

by Anthony, Martin

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ISBN 10 / ISBN 13
9780521118620 / 052111862X
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paperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.
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