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An Elementary Introduction to Statistical Learning Theory - Sanjeev (Princeton University) Kulkarni - Bog

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* 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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  • Sprog:
  • Engelsk
  • ISBN:
  • 9780470641835
  • Indbinding:
  • Hardback
  • Sideantal:
  • 232
  • Udgivet:
  • 15. juli 2011
  • Størrelse:
  • 162x237x17 mm.
  • Vægt:
  • 496 g.
  • 2-3 uger.
  • 16. december 2024
Forlænget returret til d. 31. januar 2025

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Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af 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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