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Robust Ensemble Learning Under Label Noise: A Theoretical Analysis and Framework-Specific Solutions

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Ensemble learning methods combine multiple weak base learners to create a robust decision model, effectively analyzing feature-response relationships across various domains. However, the assumption of accurate sample-label relationships in supervised learning ... ...