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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Limba Engleză ● Format PDF ● ISBN 9783709125687 ● Editor Laszlo Gyorfi ● Editura Springer Vienna ● Publicat 2014 ● Descărcabil 3 ori ● Valută EUR ● ID 6355253 ● Protecție împotriva copiilor Adobe DRM
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