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Publications in Math-Net.Ru |
Citations |
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2024 |
1. |
A. V. Lapko, À. L. Vasily, “A fast optimization technique for the regression estimation of the probability density of a one-dimensional random variable”, Artificial Intelligence and Decision Making, 2024, no. 2, 123–131 |
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2023 |
2. |
V. P. Tuboltsev, A. V. Lapko, À. L. Vasily, “Nonparametric algorithm for automatic classification of remote sensing data”, Inform. Primen., 17:4 (2023), 23–31 |
3. |
V. P. Tuboltsev, A. V. Lapko, À. L. Vasily, “Modified nonparametric algorithm for automatic classification of large-volume statistical data and its application”, Artificial Intelligence and Decision Making, 2023, no. 4, 49–57 |
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2022 |
4. |
A. V. Lapko, À. L. Vasily, A. V. Bakhtina, “Comparison of the methodology for hypothesis testing of the independence of two-dimensional random variables based on a nonparametric classifier”, Artificial Intelligence and Decision Making, 2022, no. 1, 45–56 ; Scientific and Technical Information Processing, 50:6 (2023), 572–581 |
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2021 |
5. |
I. V. Zenkov, A. V. Lapko, À. L. Vasily, E. V. Kiryushina, V. N. Vokin, A. V. Bakhtina, “A method of sequentially generating a set of components of a multidimensional random variable using a nonparametric pattern recognition algorithm”, Computer Optics, 45:6 (2021), 926–933 |
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6. |
I. V. Zenkov, A. V. Lapko, À. L. Vasily, E. V. Kiryushina, V. N. Vokin, “Nonparametric pattern recognition algorithm for testing a hypothesis of the independence of random variables”, Computer Optics, 45:5 (2021), 767–772 |
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7. |
I. V. Zenkov, A. V. Lapko, À. L. Vasily, S. T. Im, V. P. Tuboltsev, V. L. Avdeenok, “A nonparametric algorithm for automatic classification of large multivariate statistical data sets and its application”, Computer Optics, 45:2 (2021), 253–260 |
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2019 |
8. |
A. V. Lapko, À. L. Vasily, “A technique for testing hypotheses for distributions of multidimensional spectral data using a nonparametric pattern recognition algorithm”, Computer Optics, 43:2 (2019), 238–244 |
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