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Statistical Learning Theory (Adaptive and Learning Systems for Signal Processing, Communications and Control Series) 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.Read More
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- 0471030031
- 9780471030034
- Vladimir N. Vapnik
- 12 October 1998
- Wiley-Blackwell
- Hardcover (Book)
- 736
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