Principles of Nonparametric Learning

Principles of Nonparametric Learning
Author :
Publisher : Springer Science & Business Media
Total Pages : 350
Release :
ISBN-10 : 3211836888
ISBN-13 : 9783211836880
Rating : 4/5 (880 Downloads)
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Book Synopsis Principles of Nonparametric Learning by : László Györfi

Download or read book Principles of Nonparametric Learning written by László Györfi and published by Springer Science & Business Media. This book was released on 2002-07-30 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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