Geodesic
On the ability of a statistical classifier to generalize
Informacionnye tehnologii i vyčislitelnye sistemy, no. 4 (2021), pp. 38-50

Voir la notice de l'article provenant de la source Math-Net.Ru

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, learning set.
Mots-clés : classification, polynomial regression 
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     title = {On the ability of a statistical classifier to generalize},
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     pages = {38--50},
     publisher = {mathdoc},
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     year = {2021},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/ITVS_2021_4_a3/}
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B. M. Gavrikov; M. B. Gavrikov; N. V. Pestryakova. On the ability of a statistical classifier to generalize. Informacionnye tehnologii i vyčislitelnye sistemy, no. 4 (2021), pp. 38-50. http://geodesic.mathdoc.fr/item/ITVS_2021_4_a3/