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Unsupervised Machine Learning for Developing Personalised Behaviour Models Using Activity Data
The goal of this study is to address two major issues that undermine the large scale deployment of smart home sensing solutions in people’s homes. These include the costs associated with having to install and maintain a large number of sensors, and the pragmatics of annotating numerous sensor data s...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5469639/ https://ncbi.nlm.nih.gov/pubmed/28471405 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s17051034 |
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