Table of contents for Pattern recognition and neural networks / B.D. Ripley.

Bibliographic record and links to related information available from the Library of Congress catalog

Information from electronic data provided by the publisher. May be incomplete or contain other coding.

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
Author index
Subject index.

Library of Congress subject headings for this publication: Neural networks (Computer science) Pattern recognition systems