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Forecast and evaluation of COVID-19 spreading in USA with reduced-space Gaussian process regression
In this report, we analyze historical and forecast infections for COVID-19 death based on Reduced-Space Gaussian Process Regression associated to chaotic Dynamical Systems with information obtained in 82 days with continuous learning, day by day, from January 21(th), 2020 to April 12(th). According...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7242925/ https://www.ncbi.nlm.nih.gov/pubmed/32501372 http://dx.doi.org/10.1016/j.chaos.2020.109924 |