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Multi-label data are prevalent in real world. Due to its great potential applications, multi-label learning has now been receiving more and more attention from many fields. However, how to effectively exploit the correlations of variables and labels, and tackle the high-dimensional problems of data are two major challenging issues for multi-label learning. In this paper we make an attempt to cope...
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