Compressed Labeling On Distilled Labelsets For Multi-Label Learning

Publisher:
Springer
Publication Type:
Journal Article
Citation:
Machine Learning, 2012, 88 (1-2), pp. 69 - 126
Issue Date:
2012-01
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Directly applying single-label classification methods to the multi-label learning problems substantially limits both the performance and speed due to the imbalance, dependence and high dimensionality of the given label matrix. Existing methods either ign
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