A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and exercises to further the readers understanding. Both research workers and graduate students will benefit from this wide-ranging and up-to-date account of a fast- moving field.
- ISBN13 9780387946184
- Publish Date 20 February 1997
- Publish Status Active
- Publish Country US
- Imprint Springer-Verlag New York Inc.
- Edition 1st ed. 1996. Corr. 2nd printing 1997
- Format Hardcover
- Pages 638
- Language English