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Bernshtein Aleksandr Vladimirovich
Professor
Doctor of physico-mathematical sciences (1987)

Speciality: 01.01.05 (Probability theory and mathematical statistics)
Birth date: 1.02.1946
Keywords: Predictive modtling, Manifold learning, statistical estimation, hypotheses testing, dimensionality reduction, regression analysis

Subject:

Mathematical modeling, Mathematical Statistics, Intelligent Data Analysis, Machine Learning


Main publications:
  1. Bernstein A.V., “Manifold learning in statistical tasks”, Uchenye zapiski Kazanskogo universiteta. Ceriya fiziko-matematicheskie nauki, 160:2 (2018), 229-242
  2. Kuleshov A.P., Bernstein A.V., “Nonlinear multi-output regression on unknown input manifold.”, Annals of Mathematics and Artificial Intelligence, 81:1-2 (2017), 209-240
  3. Bernstein A.V., Kuleshov A.P., “Manifold Learning: generalizing ability and tangent proximity”, International Journal of Software and Informatics, 7:3 (2013), 359-390
  4. Bernstein A.V., Kuleshov A.P., Yanovich Yu.A., “Manifold Learning in Regression tasks”, Statistical Learning and Data Sciences (Statistical Learning and Data Sciences, London, 2015), Lecture Notes in Artificial Intelligence, 9407, Springer International Publishing, Switzerland, 2015, 414-423
  5. Kuleshov A.P., Bernstein A.V., Burnaev E.V., “Conformal Prediction in Manifold Learning”, Proceedings of the Seventh Workshop on Conformal and Probabilistic Prediction and Applications (Seventh Workshop on Conformal and Probabilistic Prediction and Applications, Stockholm, 2018), Proceedings of Machine Learning Research, 91, 2018, 234-253

Publications in Math-Net.Ru

Presentations in Math-Net.Ru

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