STATISTICAL LEARNING THEORY

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Sinopse

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.

Ficha técnica

Código de barras:
9780471030034
Dimensões:
3.50cm x 16.00cm x 23.00cm
Edição:
1ª EDIÇÃO - 1998
Editora:
JOHN WILEY
ISBN:
9780471030034
ISBN13:
9780471030034
Número de páginas:
736
Peso:
822 gramas
Capa dura:
Sim