On the Consistency of Multi-Label Learning


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
View Slides


1 Figure or Table


Citations per Year

111 Citations

Semantic Scholar estimates that this publication has 111 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@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} }