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Information Theoretic Learning

- Renyi's Entropy and Kernel Perspectives

Bag om Information Theoretic Learning

This book is the first cohesive treatment of ITL algorithms to adapt linear or nonlinear learning machines both in supervised and unsupervised paradigms. It compares the performance of ITL algorithms with the second order counterparts in many applications.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781441915696
  • Indbinding:
  • Hardback
  • Sideantal:
  • 448
  • Udgivet:
  • 15. april 2010
  • Størrelse:
  • 164x237x33 mm.
  • Vægt:
  • 968 g.
  • BLACK NOVEMBER
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Leveringstid: 8-11 hverdage
Forventet levering: 6. december 2024

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This book is the first cohesive treatment of ITL algorithms to adapt linear or nonlinear learning machines both in supervised and unsupervised paradigms. It compares the performance of ITL algorithms with the second order counterparts in many applications.

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