Pattern Recognition and Neural Networks
Published on 10. January 2008
Book
Paperback/Softback
416 pages
978-0-521-71770-0 (ISBN)
Description
This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled coverage and a wealth of case-studies this book gives valuable insight into both the theory and the enormously diverse applications (which can be found in remote sensing, astrophysics, engineering and medicine, for example). So that readers can develop their skills and understanding, many of the real data sets used in the book are available from the author's website: www.stats.ox.ac.uk/~ripley/PRbook/. For the same reason, many examples are included to illustrate real problems in pattern recognition. Unifying principles are highlighted, and the author gives an overview of the state of the subject, making the book valuable to experienced researchers in statistics, machine learning/artificial intelligence and engineering. The clear writing style means that the book is also a superb introduction for non-specialists.
Reviews / Votes
'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 Education 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 NewsMore details
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Product notice
Paperback (trade)
Illustrations
11 Halftones, unspecified; 30 Line drawings, unspecified
Dimensions
Height: 246 mm
Width: 189 mm
Thickness: 23 mm
Weight
801 gr
ISBN-13
978-0-521-71770-0 (9780521717700)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Brian D. Ripley
Pattern Recognition and Neural Networks
Book
01/1996
Cambridge University Press
€73.04
Article exhausted; check for reprint
Previous edition
Brian D. Ripley
Pattern Recognition and Neural Networks
Book
01/1996
Cambridge University Press
€73.04
Article exhausted; check for reprint
Person
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.
Content
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.