PartialMulti-LabelLearningwithProbabilistic GraphicalDisambiguation

Neural Information Processing Systems 

Partial multi-label learning aims to induce a multi-label predictor from inaccurately annotated examples, where a set of candidate labels is assigned to each training example but only some of thesecandidateonesarevalid.

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