ISBN-10:
0521717701
ISBN-13:
9780521717700
Pub. Date:
01/28/2008
Publisher:
Cambridge University Press
Pattern Recognition and Neural Networks

Pattern Recognition and Neural Networks

by Brian D. Ripley

Paperback

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Overview

Ripley brings together two crucial ideas in pattern recognition: statistical methods and machine learning via neural networks. He brings unifying principles to the fore, and reviews the state of the subject. Ripley also includes many examples to illustrate real problems in pattern recognition and how to overcome them.

Product Details

ISBN-13: 9780521717700
Publisher: Cambridge University Press
Publication date: 01/28/2008
Pages: 416
Product dimensions: 7.40(w) x 9.60(h) x 0.70(d)

About the Author

Brian Ripley is the Professor of Applied Statistics at the University of Oxford and a member of the Department of Statistics as well as a Professorial Fellow of St. Peter's College.

Table of Contents

1. Introduction and examples; 2. Statistical decision theory; 3. Linear discriminant analysis; 4. Flexible discriminants; 5. Feed-forward neural networks; 6. Non-parametric methods; 7. Tree-structured classifiers; 8. Belief networks; 9. Unsupervised methods; 10. Finding good pattern features; Appendix: statistical sidelines; Glossary; References; Author index; Subject index.

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