UMR CNRS 7253

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research [2021/01/05 10:31] – [Uncertainty propagation and (in)dependence modelling] sdestercresearch [2021/01/05 10:31] (current) – [Learning problems] sdesterc
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 ====== Learning problems ====== ====== Learning problems ======
  
-Work (mainly) benefiting from collaborations and discussions with B. Quost, T. Denoeux, B. Ben Yaghlane, N. Sutton-Charani, G. Yang, M. Masson, E. Hüllermeier, A. Antonucci, G. Corani, M. Poss, V-L. Nguyen, Y. Alarcon and N. Ben Abdallah+Work (mainly) benefiting from collaborations and discussions with B. Quost, T. Denoeux, B. Ben Yaghlane, N. Sutton-Charani, G. Yang, M. Masson, E. Hüllermeier, A. Antonucci, G. Corani, M. Poss, V-L. Nguyen, Y. Alarcon, S. Messoudi and N. Ben Abdallah
  
 Outside of extending some classical classifiers (k-NN methods, Naïve networks) to imprecise probabilistic settings, our work currently focuses on the combination of classifiers, to address both the usual multi-classification problem, as well as more complex problems such as label ranking and multilabel classification. Outside of extending some classical classifiers (k-NN methods, Naïve networks) to imprecise probabilistic settings, our work currently focuses on the combination of classifiers, to address both the usual multi-classification problem, as well as more complex problems such as label ranking and multilabel classification.

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research.1609839105.txt.gz · Last modified: 2021/01/05 10:31 by sdesterc
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