Statistical learning theory

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.