On the Consistency of Multi-Label Learning

Abstract

Multi-label learning has attracted much attention during the past few years. Many multilabel learning approaches have been developed, mostly working with surrogate loss functions since multi-label loss functions are usually difficult to optimize directly owing to non-convexity and discontinuity. Though these approaches are effective, to the best of our… (More)
DOI: 10.1016/j.artint.2013.03.001
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@article{Gao2011OnTC, title={On the Consistency of Multi-Label Learning}, author={Wei Gao and Zhi-Hua Zhou}, journal={Artif. Intell.}, year={2011}, volume={199-200}, pages={22-44} }