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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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| Publicat a: | IEEE Trans Affect Comput |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7266106/ https://ncbi.nlm.nih.gov/pubmed/32489521 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TAFFC.2017.2784832 |
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