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An Elementary Introduction to Statistical Learning Theory

About An Elementary Introduction to Statistical Learning Theory

* Serves as a fundamental introduction to statistical learning theory and its role in understanding human learning and inductive reasoning. * Topics of coverage include: probability, pattern recognition, optimal Bayes decision rule, nearest neighbor rule, kernel rules, neural networks, and support vector machines.

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  • Language:
  • English
  • ISBN:
  • 9780470641835
  • Binding:
  • Hardback
  • Pages:
  • 232
  • Published:
  • July 14, 2011
  • Dimensions:
  • 162x237x17 mm.
  • Weight:
  • 496 g.
Delivery: 2-4 weeks
Expected delivery: December 22, 2024
Extended return policy to January 30, 2025

Description of An Elementary Introduction to Statistical Learning Theory

* Serves as a fundamental introduction to statistical learning theory and its role in understanding human learning and inductive reasoning. * Topics of coverage include: probability, pattern recognition, optimal Bayes decision rule, nearest neighbor rule, kernel rules, neural networks, and support vector machines.

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