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This volume provides a systematic in-depth analysis of nonparametric learning. It covers the theoretical limits and the asymptotical optimal algorithms and estimates, such as pattern recognition, nonparametric regression estimation, universal prediction, vector quantization, distribution and density estimation, and genetic programming.

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Sprog:
Engelsk

ISBN:
9783211836880

Forlag:
Springer Verlag GmbH

Indbinding:
Paperback

Sideantal:
335

Udgivet:
1. juli 2002

Udgave:
12002

Størrelse:
244x170x19 mm.

Vægt:
604 g.

Leveringstid: 8-11 hverdage.
Forventet levering: 12. december 2024

Forlænget returret til d. 31. januar 2025

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This volume provides a systematic in-depth analysis of nonparametric learning. It covers the theoretical limits and the asymptotical optimal algorithms and estimates, such as pattern recognition, nonparametric regression estimation, universal prediction, vector quantization, distribution and density estimation, and genetic programming.

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