An Algorithm for Reselecting a Reference Objects


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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.

About the authors

N. N. Bondarenko

Moscow State University

Author for correspondence.
Email: kolianmos1@gmail.com
Russian Federation, Moscow

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