. Author(s): Vladimir N. Vapnik@Series: Adaptive and learning systems for signal processing, communications, and control@Publisher: Wiley, Year: 1998@ISBN 0471030031,9780471030034,9780585357058@ 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. Ebooks here: https://ouo.io/Pdo0ug
