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Pattern Recognition and Image Analysis

, Volume 28, Issue 4, pp 684–687 | Cite as

An Algorithm for Reselecting a Reference Objects

  • N. N. Bondarenko
Mathematical Method in Pattern Recognition
  • 7 Downloads

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.

Keywords

algorithm for calculation of estimates algebraic theory of algorithms selection of learning objects totality of essential precedents 

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Copyright information

© Pleiades Publishing, Ltd. 2018

Authors and Affiliations

  1. 1.Moscow State UniversityMoscowRussia

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