most citedJoint Ranking SVM and Binary Relevance with Robust Low-Rank Learning for Multi-Label Classification

120 citations · 120 across the 1 of their papers we have counts for

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1 paper

cs.LG2019★ 120 cited

Joint Ranking SVM and Binary Relevance with Robust Low-Rank Learning for Multi-Label Classification

Guoqiang Wu, Ruobing Zheng, Yingjie Tian +1

Multi-label classification studies the task where each example belongs to multiple labels simultaneously. As a representative method, Ranking Support Vector Machine (Rank-SVM) aims…