ANALYSIS OF NONPARAMETRIC PATTERN RECOGNITION ALGORITHMS UNDER INCOMPLETE DATA
A. V. Lapko and V. A. Lapko
Institute of Computational Modeling, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, Russia, E-mail: lapko@icm.krasn.ru
Pages: 238-244
Abstract
The nonparametric pattern recognition algorithms are investigated under incomplete data in the training sample. Requirements on the incomplete data filling methods are formulated by analyzing conditions of their asymptotic convergence.
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