Schirn adds a high-rank penalty on predictions and a sparsity penalty on noise to partial multi-label learning, and reports better results than nine prior methods on eleven datasets.
A singular value thresholding algorithm for matrix completion.SIAM Journal on optimization, 20(4):1956–1982, 2010
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Revisiting Sparsity Constraint Under High-Rank Property in Partial Multi-Label Learning
Schirn adds a high-rank penalty on predictions and a sparsity penalty on noise to partial multi-label learning, and reports better results than nine prior methods on eleven datasets.