Applying a Reference Objects Preselection Algorithm to Real-World Data
- Autores: Bondarenko N.N.1
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Afiliações:
- Faculty of Computational Mathematics and Cybernetics
- Edição: Volume 28, Nº 3 (2018)
- Páginas: 427-429
- Seção: Applied Problems
- URL: https://journals.rcsi.science/1054-6618/article/view/195402
- DOI: https://doi.org/10.1134/S1054661818030045
- ID: 195402
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Resumo
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.
Sobre autores
N. Bondarenko
Faculty of Computational Mathematics and Cybernetics
Autor responsável pela correspondência
Email: kolianmos1@gmail.com
Rússia, Moscow
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