Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health
While accurately predicting mood and wellbeing could have a number of important clinical benefits, traditional machine learning (ML) methods frequently yield low performance in this domain. We posit that this is because a one-size-fits-all machine learning model is inherently ill-suited to predictin...
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Veröffentlicht in: | IEEE transactions on affective computing 2020-04, Vol.11 (2), p.200-213 |
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