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...

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Detalles Bibliográficos
Autores principales: Albert, Christopher G., Rath, Katharina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516566/
https://www.ncbi.nlm.nih.gov/pubmed/33285927
http://dx.doi.org/10.3390/e22020152

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