Active learning for ordinal classification based on expected cost minimization

HIGHLIGHTS

• who: Deniu He from the Chongqing Key LaboratoryChongqing University have published the paper: Active learning for ordinal classification based on expected cost minimization, in the Journal: Scientific Reports Scientific Reports of 19/05/2022
• what: The authors design an expected cost minimization criterion by considering the ordering information between ordinal classes. The authors design a candidate subset selection method based on the k-means algorithm, which greatly reduces the computational overhead of calculating the expected cost and endows the selected instances with representative and diversity.. Inspired by this, the authors design an expected cost minimization . . .
  

   

  

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