Books  Animal & General Biology  Animal & General Biology 

Pattern Recognition and Neural Networks

By: B Ripley

403 pages, Illus, figs

Cambridge University Press

Paperback | Jan 2008 | #174918 | ISBN-13: 9780521717700
Availability: Usually dispatched within 6 days Details
NHBS Price: £35.99 $46/€43 approx
Hardback | Jan 1996 | #56267 | ISBN: 0521460867
Out of Print Details

About this book

A title with a broad appeal, including biologists, astronomers, and statisticians.

'The combination of theory and examples makes this a unique and interesting book.' A. Gelman, Journal of the International Statistical Institute 'I can warmly recommend this book. Every researcher will benefit by the broadness of Ripley's view and the comprehensive bibliography.' Dee Denteneer, ITW Nieuws '! a grand overview of both the theory and the practice of the field ! of benefit to anyone who has an interest in a principled approach to statistical data analysis ! will indeed provide an excellent reference for many years to come.' Stephen Roberts, The Times Higher Educational Supplement '... an excellent text on the statistics of pattern classifiers and the application of neural network techniques ! Ripley has managed ! to produce an altogether accessible text ![it] will be rightly popular with newcomers to the area for its ability to present the mathematics of statistical pattern recognition and neural networks in an accessible format and engaging style.' Nature '! a valuable reference for engineers and science researchers.' Optics and Photonics News


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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Biography

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.

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