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Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2021, Issue 4, Pages 38–50
DOI: https://doi.org/10.14357/20718632210404 (Mi itvs746) 		 
This article is cited in 4 scientific papers (total in 4 papers)

CONTROL AND DECISION MAKING

On the ability of a statistical classifier to generalize

B. M. Gavrikova, M. B. Gavrikovb, N. V. Pestryakovaa

a Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow, Russia
b Federal Research Center "Keldysh Institute of Applied Mathematics" of Russian Academy of Sciences, Moscow, Russia
Full-text PDF (865 kB) Citations (4)
DOI: https://doi.org/10.14357/20718632210404
Abstract: The ability to generalize the statistical classifier designed to assess the state of human health by the parameters of peripheral blood is being studied. A mathematical model is described and imple-mented for the numerical study of interpolation and extrapolation properties of the classifier developed by the authors, based on the polynomial-regression approach and having probabilistic estimates.
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, M. B. Gavrikov, N. V. Pestryakova, “On the ability of a statistical classifier to generalize”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2021, no. 4, 38–50
Citation in format AMSBIB
\Bibitem{GavGavPes21}
\by B.~M.~Gavrikov, M.~B.~Gavrikov, N.~V.~Pestryakova
\paper On the ability of a statistical classifier to generalize
\jour Informatsionnye Tekhnologii i Vychslitel'nye Sistemy
\yr 2021
\issue 4
\pages 38--50
\mathnet{http://mi.mathnet.ru/itvs746}
\crossref{https://doi.org/10.14357/20718632210404}
\elib{https://elibrary.ru/item.asp?id=47385720}
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  • https://www.mathnet.ru/eng/itvs/y2021/i4/p38
    • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Informatsionnye Tekhnologii i Vychslitel'nye Sistemy
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    Full-text PDF :17
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