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Publications in Math-Net.Ru
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Optimization models extraction from data
Inform. Primen., 14:3 (2020), 109–118
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Intelligent optimization based on machine learning: state of art and perspectives (a survey)
Taurida Journal of Computer Science Theory and Mathematics, 2020, no. 1, 32–63
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Extraction of optimization models from data: an application of neural networks
Taurida Journal of Computer Science Theory and Mathematics, 2018, no. 2, 71–89
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A synthesis of pseudo-Boolean empirical models by precedential information
Vestnik YuUrGU. Ser. Mat. Model. Progr., 11:2 (2018), 96–107
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Extraction optimization models from data: an approach based on decision trees and forests
Taurida Journal of Computer Science Theory and Mathematics, 2017, no. 4, 59–86
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Kolmogorov complexity and the $VC$ dimension of families of recursive functions
Taurida Journal of Computer Science Theory and Mathematics, 2017, no. 1, 32–41
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Pseudo-Boolean optimization with a disjunctive constraint
Zh. Vychisl. Mat. Mat. Fiz., 34:3 (1994), 461–472
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Weakly determinate problems of Boolean linear programming with a partially specified set of admissible solutions
Zh. Vychisl. Mat. Mat. Fiz., 28:9 (1988), 1379–1385
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Learning algorithms based on the construction of decision trees
Zh. Vychisl. Mat. Mat. Fiz., 22:4 (1982), 963–974
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Nikolay Dmitrievich Kopachevsky. March 25, 1940 — May 18, 2020
CMFD, 66:2 (2020), 157–159
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