Concept Drift Adaptation by Exploiting Historical Knowledge

Yu Sun, Ke Tang, Zexuan Zhu +1

Incremental learning with concept drift has often been tackled by ensemble methods, where models built in the past can be re-trained to attain new models for the current data. Two…