Jul 2026
Robust Ensemble Learning Under Label Noise: A Theoretical Analysis and Framework-Specific Solutions.
This article utilizes bias-variance-diversity (BVD) decomposition theory to examine the impact of noisy labels on three mainstream ensemble paradigms: Bagging, Boosting, and Stacking and characterizes the mechanisms behind performance degradation.
Guanxiong He, Jie Wang, Zhiyong Li et al.
· IEEE Transactions on Neural... · 1 citation