Ebook: Statistical Learning Theory
Author: Vladimir N. Vapnik
- Genre: Education
- Series: Adaptive and learning systems for signal processing communications and control
- Year: 1998
- Publisher: Wiley
- City: New York
- Language: English
- djvu
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.
Download the book Statistical Learning Theory for free or read online
Continue reading on any device:
Last viewed books
Related books
{related-news}
Comments (0)