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An Algorithm for Reselecting a Reference Objects

  • Mathematical Method in Pattern Recognition
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Abstract

The problem of optimally choosing a learning object is studied. The definition of essential totality of precedents is given. It is shown that an iterative procedure for generating the essential totality of precedents exists. The algorithm operation is checked on model data.

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Authors and Affiliations

  1. Moscow State University, Moscow, Russia

    N. N. Bondarenko

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  1. N. N. Bondarenko
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Correspondence to N. N. Bondarenko.

Additional information

Nikolay Bondarenko started his scientific career with the development of mathematical models in economics, aircraft construction, and pharmaceuticals. His supervisor was Yuri Ivanovich Zhuravlyov, a Russian mathematician specializing in the algebraic theory of algorithms. His first publication was printed in Science Magazine (Computational Mathematics and Mathematical Physics–Springer) in 2012. In 2016, he began work on his PhD in forecasting of large commercial structures, including classification of the condition of a structure in fixed periods of time.

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Bondarenko, N.N. An Algorithm for Reselecting a Reference Objects. Pattern Recognit. Image Anal. 28, 684–687 (2018). https://doi.org/10.1134/S1054661818040053

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  • DOI: https://doi.org/10.1134/S1054661818040053

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