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    Statistical Learning Theory

Statistical Learning Theory

VN Vapnik
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      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.
      Format: CONTRIBUTORS: VN Vapnik EAN: 9780471030034 COUNTRY: United States PAGES: WEIGHT: 1211 g HEIGHT: 241 cm
      PUBLISHED BY: John Wiley & Sons Inc DATE PUBLISHED: 1998-10-12 CITY: GENRE: MATHEMATICS / Probability & Statistics / General WIDTH: 163 cm SPINE:

      Book Themes:

      Functional analysis and transforms, Machine learning

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      Vladimir Naumovich Vapnik is one of the main developers of the Vapnik-Chervonenkis theory of statistical learning, and the co-inventor of the support vector machine method, and support vector clustering algorithm.
      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.
      Format: CONTRIBUTORS: VN Vapnik EAN: 9780471030034 COUNTRY: United States PAGES: WEIGHT: 1211 g HEIGHT: 241 cm
      PUBLISHED BY: John Wiley & Sons Inc DATE PUBLISHED: 1998-10-12 CITY: GENRE: MATHEMATICS / Probability & Statistics / General WIDTH: 163 cm SPINE:

      Book Themes:

      Functional analysis and transforms, Machine learning

      Customer Reviews

      Be the first to write a review
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      Vladimir Naumovich Vapnik is one of the main developers of the Vapnik-Chervonenkis theory of statistical learning, and the co-inventor of the support vector machine method, and support vector clustering algorithm.

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