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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
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.
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
Linking options:
https://www.mathnet.ru/eng/itvs328 https://www.mathnet.ru/eng/itvs/y2018/i4/p97
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Abstract page: | 75 | Full-text PDF : | 34 |
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