Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI

12 Jul 2020Yingshui TanBaihong JinXiangyu YueYuxin ChenAlberto Sangiovanni Vincentelli

Ensemble learning is widely applied in Machine Learning (ML) to improve model performance and to mitigate decision risks. In this approach, predictions from a diverse set of learners are combined to obtain a joint decision... (read more)

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