ENTROPY DIMENSION REDUCTION METHOD FOR RANDOMIZED MACHINE LEARNING PROBLEMS Article Popkov Y.S., Dubnov Y.A., Popkov A.Y. Automation and Remote Control. Maik Nauka Publishing / Springer SBM. Vol. 79. 2018. P. 2038-2051
RANDOMIZED MACHINE LEARNING: STATEMENT, SOLUTION, APPLICATIONS Article Popkov Y.S., Dubnov Y.A., Popkov A.Y. 2016 IEEE 8th International Conference on Intelligent Systems, IS 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc.. 2016. P. 27-39
NEW METHOD OF RANDOMIZED FORECASTING USING ENTROPY-ROBUST ESTIMATION: APPLICATION TO THE WORLD POPULATION PREDICTION Article Popkov Y.S., Dubnov Y.A., Popkov A.Y. Mathematics. MDPI AG. 2016. P. 1-16
GFS ALGORITHM BASED ON BATCH MONTE CARLO TRIALS FOR SOLVING GLOBAL OPTIMIZATION PROBLEMS Article Darkhovskiy B.S., Popkov Y.S., Popkov A.Y. AIP Conference Proceedings. Vol. 1776. 978-0-7354-1438-9. 2016. P. 1-4
ESTIMATING THE CHARACTERISTICS OF RANDOMIZED DYNAMIC DATA MODELS (THE ENTROPY-ROBUST APPROACH) Article Popkov Y.S., Popkov A.Y., Lysak Y.N. Automation and Remote Control. Maik Nauka Publishing / Springer SBM. Vol. Vol 75 No 5. 2014. P. 872-879
NEW METHODS OF ENTROPY-ROBUST ESTIMATION FOR RANDOMIZED MODELS UNDER LIMITED DATA Article Popkov Y.S., Popkov A.Y. Entropy. 2014. P. 675-698