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• Course syllabus: Bayesian model selection and multimodeling
  #Bakhteev O.Y., Strijov V.V. Deep learning model selection of suboptimal complexity / # Bakhteev O.Y., Strijov V.V. Comprehensive analysis of gradient-based hyperparameter
  4 KB (479 words) - 01:14, 13 February 2024
• Fundamental theorems
  |Oleg Bakhteev |Oleg Bakhteev
  15 KB (1,648 words) - 22:20, 11 February 2024
• List of theses
  ...?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Oleg_Bakhteev Oleg Bakhteev] ...?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Oleg_Bakhteev Oleg Bakhteev]
  43 KB (6,151 words) - 22:28, 11 February 2024
• Research Statement
  [11] Oleg Bakhteev and Vadim Strijov. Deep learning model selection of suboptimal complexity. [12] Oleg Bakhteev and Vadim Strijov. Comprehensive analysis of gradient-based hyperparameter
  9 KB (1,279 words) - 21:59, 11 February 2024
• Vadim
  ...Bayesian model selection for deep learning neural network structures (Oleg Bakhteev) ...ameter optimisation algorithms (2019) ''Annals of Operations Research'' by Bakhteev O.Y., Strijov Vadim [https://doi.org/10.1007/s10479-019-03286-z DOI]
  15 KB (1,998 words) - 21:47, 11 February 2024
• Mathematical forecasting
  .../files/docs/ds/002-073-05/diss/26-bahteev/ds05-26-bahteev_main.pdf?28 Oleg Bakhteev] and by [https://www.frccsc.ru/sites/default/files/docs/ds/002-073-05/diss/
  12 KB (1,593 words) - 22:26, 11 February 2024
• Functional data analysis for BCI and biomedical signals
  # O. Y. Bakhteev and V. V. Strijov. Comprehensive analysis of gradient-based hyper-parameter
  10 KB (1,356 words) - 22:21, 11 February 2024
• Project archive
  * '''Authors:''' Experts Bakhteev Oleg, Strijov V.V., Consultant Gorpinich Maria. * '''Authors:''' K.D. Yakovlev, Bakhteev Oleg
  619 KB (87,270 words) - 23:02, 14 February 2024