Information technologies and computer sciences

Optimization of feature set for the information-extreme unimodal classifier

Authors

I. V. Kuzmin
Vinnytsia National Technical University ROR
V. V. Moskalenko
Sumy State University ROR

Keywords

learning optimization feature set set of classes classifier decision support system

Abstract

Within the framework of informatively-extreme intellectual technology sequential top-down feature selection method for unimodal classifier within intellectual information-extreme technology is considered in the paper. On the example of implementation the article considers sequential top-down feature selection method for Decision Support System for control of growing single crystals from the melt.
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How to Cite

[1]
“Optimization of feature set for the information-extreme unimodal classifier”, Вісник ВПІ, no. 5, pp. 91–97, Nov. 2010, Accessed: Oct. 30, 2026. Available: https://visnyk.vntu.edu.ua/index.php/visnyk/article/view/1312

Author Biographies

I. V. Kuzmin, Vinnytsia National Technical University
професор кафедри комп’ютерних систем управління
V. V. Moskalenko, Sumy State University
аспірант кафедри комп’ютерних наук

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