Multi-label learning with label-specific feature reduction
Knowl.-Based Syst., Volume 104, Issue C, 2016, Pages 52-61.
We propose two multi-label learning approaches with LIFT reduction.The idea of fuzzy rough set attribute reduction is adopted in our approaches.Sample selection improves the efficiency in feature dimension reduction. In multi-label learning, since different labels may have some distinct characteristics of their own, multi-label learning a...More
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