DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts

Miguel Aspis, Sebastián A. Cajas Ordónez, Andrés L. Suárez-Cetrulo +1

Learning from non-stationary data streams subject to concept drift requires models that can adapt on-the-fly while remaining resource-efficient. Existing adaptive ensemble methods…