Statistical Learning Theory (Adaptive and Cognitive Dynamic Systems: Signal Processing Learning Communications and Control)

About this book

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.