An Algorithm for Reselecting a Reference Objects


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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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N. Bondarenko

Moscow State University

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Email: kolianmos1@gmail.com
俄罗斯联邦, Moscow

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