Kód: 04887203
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 ... celý popis
Nákupem získáte 688 bodů
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.
Zařazení knihy Knihy v angličtině Mathematics & science Mathematics Calculus & mathematical analysis
6882 Kč
Osobní odběr Praha, Brno a 12903 dalších
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