BIOINFORMATICS AND MEDICINE
IMAGE PROCESSING METHODS
TEXT MINING
MATHEMATICAL MODELING
CONTROL SYSTEMS
DATA PROCESSING AND ANALYSIS
B.M. Gavrikov, N. V. Pestryakova, R.V. Stavitskiy On the properties of learning sets
B.M. Gavrikov, N. V. Pestryakova, R.V. Stavitskiy On the properties of learning sets

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

PP. 97-107.

DOI 10.14357/207186321804010

References

1. Stavitskii, R.V. [et al.]. 2013. Kolichestvennaya otsenka gomeostaticheskoy aktivnosti zdorovih i bol’nih lyudey. [Quantitative estimation of homeostatic activity in healthy and sick people]. Moscow, GART. 131p.
2. Gavrikov, M.B., and N.V. Pestryakova 2004. Keldysh Institute Preprints. № 22. Metod polinomial’noy regressii v zadachah raspoznavaniya pechatnih i rukopechatnih simvolov. [Polynomial regression method in pattern recognition of printed and handprinted characters]. 12p.
3. Gavrikov, M. B. [et al.]. Automation and Remote Control. –2006. On a Pattern Recognition Method Based on Polynomial Regression // 67(2). p. 278-292. DOI: 10.1134/S000511790602007X.
4. Pestryakova, N. V. 2011. Metod raspoznavaniya simvolov, osnovannyy na polinomial'noy regressi [The method of character recognition based on polynomial regression]. M: URSS. 141p.
5. Gavrikov, B.M., Pestryakova N. V. 2018. ITVS. O postroyenii priznakovogo prostranstva v zadache obucheniya. [About building the feature space in the problem of learning]. 1:22-29.
 

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