Browsing by Subject "(Partial) Label ranking"
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Mixture-based probabilistic graphical models for the partial label ranking problem
(2021-11)The Label Ranking problem consists in learning preference models from training datasets labeled with a ranking of class labels, and the goal is to predict a ranking for a given unlabeled instance. In this work, we focus ...