Multi-Label Sampling based on Local Label Imbalance

Bin Liu, Konstantinos Blekas, Grigorios Tsoumakas

Class imbalance is an inherent characteristic of multi-label data that hinders most multi-label learning methods. One efficient and flexible strategy to deal with this problem is t…