AINeutralarXiv – CS AI · 14h ago6/10
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DAMEL: Dual-Axis Multi-Expert Learning for Class-Imbalanced Learning
Researchers introduce DAMEL (Dual-Axis Multi-Expert Learning), a machine learning algorithm designed to address class-imbalanced datasets by simultaneously reducing prediction bias and variance. The method uses multiple expert models along representation and time axes, combining their strengths through concatenated representations and weight aggregation across training epochs.