Data & IT
Pocket
A Probabilistic Theory of Pattern Recognition
Luc Devroye • Laszlo Gyrfi • Gabor Lugosi
1349:-
Uppskattad leveranstid 7-12 arbetsdagar
Fri frakt för medlemmar vid köp för minst 249:-
Andra format:
- Inbunden 1939:-
Pattern recognition presents one of the most significant challenges for scientists and engineers, and many different approaches have been proposed. The aim of this book is to provide a self-contained account of probabilistic analysis of these approaches. The book includes a discussion of distance measures, nonparametric methods based on kernels or nearest neighbors, Vapnik-Chervonenkis theory, epsilon entropy, parametric classification, error estimation, free classifiers, and neural networks. Wherever possible, distribution-free properties and inequalities are derived. A substantial portion of the results or the analysis is new. Over 430 problems and exercises complement the material.
- Format: Pocket/Paperback
- ISBN: 9781461268772
- Språk: Engelska
- Antal sidor: 638
- Utgivningsdatum: 2013-11-22
- Förlag: Springer-Verlag New York Inc.