Pattern Recognition and Neural Networks
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.
1117323947
Pattern Recognition and Neural Networks
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.
65.0 In Stock
Pattern Recognition and Neural Networks

Pattern Recognition and Neural Networks

by Brian D. Ripley
Alternative view 1 of Pattern Recognition and Neural Networks
Alternative view 2 of Pattern Recognition and Neural Networks
Pattern Recognition and Neural Networks

Pattern Recognition and Neural Networks

by Brian D. Ripley

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: 01/10/2008
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.
From the B&N Reads Blog
Page 1 of

Related Subjects

Computers
Science & Technology
Engineering
Technology
Artificial Intelligence (AI)
Robotics & Artificial Intelligence
Natural Language Processing & Speech Recognition/Synthesis
Computers
Science & Technology
Engineering
Technology
Artificial Intelligence (AI)
Robotics & Artificial Intelligence
Natural Language Processing & Speech Recognition/Synthesis

Customer Reviews