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Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2020, Issue 4, Pages 78–89
DOI: https://doi.org/10.14357/20718632200407 (Mi itvs430) 		 
This article is cited in 3 scientific papers (total in 3 papers)

PATTERN RECOGNITION

On extrapolation properties of the statistical classifier

B. M. Gavrikov, N. V. Pestryakova

Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow, Russia
Full-text PDF (5353 kB) Citations (3)
DOI: https://doi.org/10.14357/20718632200407
Abstract: The problem of determining the ability to extrapolate a statistical classifier intended for assessing the state of human health by the parameters of peripheral blood is considered. A numerical method is used to study the characteristics of the set obtained from the training in the process of gradually increasing distortion. The extrapolation properties of the classifier and the dynamics of the probabilistic estimates generated by it are described.
Keywords: human health state, body system, peripheral blood, classification, polynomial regression, learning set.
Funding agency Grant number
Russian Foundation for Basic Research 18-29-26008
18-29-26009
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: B. M. Gavrikov, N. V. Pestryakova, “On extrapolation properties of the statistical classifier”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2020, no. 4, 78–89
Citation in format AMSBIB
\Bibitem{GavPes20}
\by B.~M.~Gavrikov, N.~V.~Pestryakova
\paper On extrapolation properties of the statistical classifier
\jour Informatsionnye Tekhnologii i Vychslitel'nye Sistemy
\yr 2020
\issue 4
\pages 78--89
\mathnet{http://mi.mathnet.ru/itvs430}
\crossref{https://doi.org/10.14357/20718632200407}
\elib{https://elibrary.ru/item.asp?id=44396801}
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    • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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