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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Language English ● Format PDF ● ISBN 9783709125687 ● Editor Laszlo Gyorfi ● Publisher Springer Vienna ● Published 2014 ● Downloadable 3 times ● Currency EUR ● ID 6355253 ● Copy protection Adobe DRM
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