ENGLISH

Statistical Learning Theory

By Vladimir N. Vapnik

Book information

Publisher
Wiley
Year
1998
ISBN
0471030031, 9780471030034, 9780585357058
LCC
Q325.7 .V38 1998
Open Library ID
OL689998M
Language
english
Format
DJVU
Filesize
5 MB (5643361 bytes)
Series
Adaptive and learning systems for signal processing, communications, and control
Pages
740\740
Topic
Education
Library
Kolxo3
DPI
400
Time added
2009-07-20 03:45:11

Description

A comprehensive look at learning and generalization theory. The statistical theory of learning and generalization concerns the problem of choosing desired functions on the basis of empirical data. Highly applicable to a variety of computer science and robotics fields, this book offers lucid coverage of the theory as a whole. Presenting a method for determining the necessary and sufficient conditions for consistency of learning process, the author covers function estimates from small data pools, applying these estimations to real-life problems, and much more.

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