Pattern Recognition and Neural Networks
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Pattern Recognition and Neural Networks

by Brian D. Ripley
     
 

ISBN-10: 0521717701

ISBN-13: 9780521717700

Pub. Date: 01/28/2008

Publisher: Cambridge University Press

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.

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)

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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