Synthesizing nonlinear nonparametric decision rules in pattern recognition problems
V. A. Lapko and A. N. Kapustin*
Institute of Computational Modeling, SB RAS, Krasnoyarsk E-mail: lapko@icm.krasn.ru
*The Krasnoyarsk State University, Krasnoyarsk
Pages: 23-29
Abstract
A method is proposed to construct nonlinear nonparametric pattern recognition algorithms for efficient solution of classification problems in the conditions of small samples. Their properties are analyzed using results of computational experiments.
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