Hongpeng Yin

Online Harmonizing Gradient Descent for Imbalanced Data Streams One-Pass Classification

Many real-world streaming data are sequentially collected over time and with skew-distributed classes. In this situation, online learning models may tend to favor samples from majority classes, making the wrong decisions for those from minority classes. Previous methods try to balance the instance n…