Neural Network Learning

Author: Martin Anthony
Edition: 1
Binding: Hardcover
ISBN: 052157353X
Publisher: Cambridge University Press
Features:

Neural Network Learning: Theoretical Foundations

This important work describes recent theoretical advances in the study of artificial neural networks. Search and download computer ebooks Neural Network Learning: Theoretical Foundations for free.
Categories: Artificial intelligence, Machine learning, Neural networks (Computer science). Contributors: Sebastian Thrun - Author. Format: Hardcover. Download Neural Network Learning computer ebooks
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

Neural Network Learning: Theoretical Foundations

Neural Network Learning: Theoretical Foundations - Martin Anthony, Peter L. Bartlett

Categories: Neural networks (Computer science). Contributors: Martin Anthony - Author. Format: Paperback

Neural Network Learning Free

" The authors explain the role of scale-sensitive versions of the Vapnik Chervonenkis dimension in large margin classification, and