Synthesis and Analysis of Nonparametric Algorithms of Pattern Recognition When Samples Are Large

Описание

Тип публикации: статья из журнала

Год издания: 2001

Аннотация: In order to increase the calculation efficiency of the solution of pattern recognition problems dealing with large samples, a nonparametric algorithm of classification is proposed which is based on the regression estimation of the probability density. The asymptotic properties of these algorithms and the problems of the estimation Показать полностьюof the confidence are investigated.

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Издание

Журнал: Pattern Recognition and Image Analysis (Advances in Mathematical Theory and Applications)

Выпуск журнала: Т.11, 1

Номера страниц: 55-57

ISSN журнала: 10546618

Место издания: Москва

Издатель: Pleiades Publishing, Ltd. (Плеадес Паблишинг, Лтд)

Авторы

  • Lapko A.V. (Institute of Computational Modeling, Siberian Division, Russian Academy of Sciences)
  • Lapko V.A. (Institute of Computational Modeling, Siberian Division, Russian Academy of Sciences)
  • Chentsov S.V. (Institute of Computational Modeling, Siberian Division, Russian Academy of Sciences)

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