Statistical learning theory

Front Cover
Wiley, Sep 30, 1998 - Computers - 736 pages
1 Review
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.

From inside the book

What people are saying - Write a review

Review: Statistical Learning Theory

User Review  - Yan Zhu - Goodreads

This work will become a master piece. However, it didn't get the appreciation it deserves nowadays. Yes this book is full of mathematical equations. However, if u go through the book carefully, u will ... Read full review

Related books

Contents

The Problem ol lnductlon and Statlstlcal
1
ll
4
THEORY OF LEARNING AND GENERALIZAIION
17
Copyright

26 other sections not shown

Common terms and phrases