Prediction of daily happiness using supervised learning of multimodal lifelog data
Developing an approach to predict happiness based on individual conditions and actions could enable us to select daily behaviors for enhancing well-being in life. Therefore, we propose a novel approach of applying machine learning, a branch of the field of artificial intelligence, to a variety of in...
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| Publicado no: | Revista Psicologia e Saúde |
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| Principais autores: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Universidade Católica Dom Bosco
2019
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| Assuntos: | |
| Acesso em linha: | https://www.redalyc.org/articulo.oa?id=609863969012 https://www.redalyc.org/journal/6098/609863969012/ https://www.redalyc.org/journal/6098/609863969012/html/ https://www.redalyc.org/journal/6098/609863969012/609863969012.epub https://www.redalyc.org/journal/6098/609863969012/movil |
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