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Gaussian Process Regression for Data Fulfilling Linear Differential Equations with Localized Sources †
Specialized Gaussian process regression is presented for data that are known to fulfill a given linear differential equation with vanishing or localized sources. The method allows estimation of system parameters as well as strength and location of point sources. It is applicable to a wide range of d...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516566/ https://www.ncbi.nlm.nih.gov/pubmed/33285927 http://dx.doi.org/10.3390/e22020152 |