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Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Печать: 1064-2315
ISSN Онлайн: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v47.i10.60
pages 60-68

Application of Smoothing Measures in Nonparametric Kernel Classifiers with Usage of Normal Approximation of Probabilities

Alexander A. Galkin
Kiev National Taras Shevchenko University, Kiev

Краткое описание

The problem of selection of bandwidth with application of kernel estimates of density of distribution was investigated, where instead of one optimal bandwidth for every density estimate we used results of different measures of smoothing for kernel estimates of density. We propose approach, where instead of unprocessed experimental relations normal approximations of the corresponding probabilities is used, and asymptotic properties were investigated for the corresponding conditions of regularity.


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