Domain adaptation principal component analysis: base linear method for learning with out-of-distribution data

HIGHLIGHTS

  • who: Evgeny M Mirkes et al. from the School of Computing and Mathematical Sciences, University of Leicester, Leicester , RH, UK have published the research: Domain Adaptation Principal Component Analysis: Base Linear Method for Learning with Out-of-Distribution Data, in the Journal: Entropy 2023, 25, 33. of 18/Dec/2022
  • what: Below, the authors provide a short description of this method adapted to the purpose of this study. The authors show the approximately monotonous dependence of accuracy on self-consistency below in some toy examples, but in practice, there is no theoretical guarantee for the . . .

     

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