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.
- ISBN:
- 9781461268772
- 9781461268772
-
Category:
- Probability & statistics
- Format:
- Paperback
- Publication Date:
-
22-11-2013
- Language:
- English
- Publisher:
- Springer-Verlag New York Inc.
- Country of origin:
- United States
- Pages:
- 638
- Dimensions (mm):
- 235x155x34mm
- Weight:
- 1kg
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