An online mixture-of-experts model trained with a multi-hot correctness mask matches or approaches state-of-the-art adaptive ensembles on several concept drift benchmarks.
In: Proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining
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DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts
An online mixture-of-experts model trained with a multi-hot correctness mask matches or approaches state-of-the-art adaptive ensembles on several concept drift benchmarks.