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Principles of Nonparametric Learning : CISM INTERNATIONAL CENTRE FOR MECHANICAL SCIENCES COURSES AND LECTURES - Laszlo Györfi
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Principles of Nonparametric Learning

By: Laszlo Györfi (Editor)

Paperback | 1 September 2002

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The book provides 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. The book is mainly addressed to postgraduates in engineering, mathematics, computer science, and researchers in universities and research institutions.

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