Wan Xu

ASWBoost: Classification algorithm for noisy and imbalanced data based on parametric exponential loss

AdaBoost, a classical boosting ensemble algorithm, is widely applied for its strong classification performance. However, its standard exponential loss is highly sensitive to outliers, prone to overfitting, and inherently biased toward the majority class under class-imbalanced settings, degrading overall performance. To...