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This paper presents two adaptive ensemble sampling approaches for imbalanced learning: one is the undersampling-based approach, and the other one is the oversampling-based approach, with the objectives of bias reduction and adaptive learning. Both of these two approaches are based on a novel class imbalance metric, termed generalized imbalance ratio (GIR), instead of the conventional sample size ratio...
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