Applying a Reference Objects Preselection Algorithm to Real-World Data


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The problem of optimal selection of learning objects is investigated. The effectiveness of the previously proposed iterative method for generating sets of relevant precedents is demonstrated on real-world data.

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N. Bondarenko

Faculty of Computational Mathematics and Cybernetics

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

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