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Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2018, Issue 4, Pages 97–107
DOI: https://doi.org/10.14357/207186321804010
(Mi itvs328)
 

This article is cited in 5 scientific papers (total in 5 papers)

DATA PROCESSING AND ANALYSIS

On the properties of learning sets

B. M. Gavrikova, N. V. Pestryakovaa, R. V. Stavitskiib

a Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Moscow, Russia
b Russian Scientific Center of Roentgenoradiology, Moscow, Russia
Full-text PDF (704 kB) Citations (5)
Abstract: The problem of describing the sets on which the classifier was trained to evaluate the state of human health from the results of the analysis of peripheral blood based on a statistical method using the polynomial regression approach is considered. A method for studying the structure of a training set for each system of the body according to four classes of its defeat is proposed.
Keywords: state of human health, peripheral blood, classification, polynomial regression, training set.
Funding agency Grant number
Russian Foundation for Basic Research 16-07-00742 à
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: B. M. Gavrikov, N. V. Pestryakova, R. V. Stavitskii, “On the properties of learning sets”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2018, no. 4, 97–107
Citation in format AMSBIB
\Bibitem{GavPesSta18}
\by B.~M.~Gavrikov, N.~V.~Pestryakova, R.~V.~Stavitskii
\paper On the properties of learning sets
\jour Informatsionnye Tekhnologii i Vychslitel'nye Sistemy
\yr 2018
\issue 4
\pages 97--107
\mathnet{http://mi.mathnet.ru/itvs328}
\crossref{https://doi.org/10.14357/207186321804010}
\elib{https://elibrary.ru/item.asp?id=36574142}
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  • https://www.mathnet.ru/eng/itvs/y2018/i4/p97
  • This publication is cited in the following 5 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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