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

1 code implementation • 5 Nov 2019 • Guoqiang Wu, Ruobing Zheng, Yingjie Tian, Dalian Liu

RBRL inherits the ranking loss minimization advantages of Rank-SVM, and thus overcomes the disadvantages of BR suffering the class-imbalance issue and ignoring the label correlations.

General Classification Multi-Label Classification