Sergey Smagin

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Statements of the major tasks of inductive formation of knowledge are suggested. These are classifications and clusterings, which are part of machine learning and are applied for dependence models with parameters that are not flawed in their traditional statement. An algorithm for knowledge base formation is presented for learning samples in almost(More)
This paper proposes a problem-oriented method for the objective formation of easily interpretable knowledge databases for intelligent systems. We describe the InForMedKB software complex, which is designed for the inductive formation of medical diagnostics knowledge databases; it was used to perform the proposed method. Expert analysis of the results of(More)
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