Feature Selection via Information Decomposition and Orthogonality Constraint for Partial Multi-Label Data
Yao Zhang, Jun Tang
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A novel supervision formulation from a risk perspective is derived: if the class prior is known, the ratio between the positive risk distribution of negative samples and the negative risk distribution of positive samples converges to a fixed value in unlabeled samples.
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