Partial label learning is an innovative branch within the machine learning field that addresses the challenge of training models on datasets where each instance is associated with a set of candidate ...
Active learning for multi-label classification addresses the challenge of labelling data in situations where each instance may belong to several overlapping categories. This paradigm aims to enhance ...
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