Diverse Instances-Weighting Ensemble based on Region Drift Disagreement for Concept Drift Adaptation

13 Apr 2020Anjin LiuJie LuGuangquan Zhang

Concept drift refers to changes in the distribution of underlying data and is an inherent property of evolving data streams. Ensemble learning, with dynamic classifiers, has proved to be an efficient method of handling concept drift... (read more)

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