Model averaging with sequential weight selection, based on mean square error, KL-divergence, and linear correlation, is evaluated for all three performance metrics and compared to the performance of individual models.
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Values are bolded to designate the model that performs best under each criterion for each participant. While MSE-based averaging consistently outperformed the individual models, the ideal scheme varies across patients.
创建时间：
2017-04-28
