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Cautious label ranking with label-wise decomposition

Author

Listed:
  • Destercke, Sébastien
  • Masson, Marie-Hélène
  • Poss, Michael

Abstract

In this paper, we are interested in the label ranking problem. We are more specifically interested in the recent trend consisting in predicting partial but more accurate (i.e., making less incorrect statements) orders rather than complete ones. To do so, we propose a ranking method based on label-wise decomposition. We estimate an imprecise probabilistic model over each label rank and we infer a partial order from it using optimization techniques. This leads to new results concerning a particular bilinear assignment problem. Finally, we provide some experiments showing the feasibility of our method.

Suggested Citation

  • Destercke, Sébastien & Masson, Marie-Hélène & Poss, Michael, 2015. "Cautious label ranking with label-wise decomposition," European Journal of Operational Research, Elsevier, vol. 246(3), pages 927-935.
    • Handle: RePEc:eee:ejores:v:246:y:2015:i:3:p:927-935
    DOI: 10.1016/j.ejor.2015.05.005
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