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.
- ISBN: 978-0-471-03003-4
- Editorial: JOHN WILEY & SONS, LTD.(2ª)
- Encuadernacion: Rústica
- Páginas: 768
- Fecha Publicación: 01/10/1998
- Nº Volúmenes: 1
- Idioma: