Kernel methods and their derivatives: Concept and perspectives for the earth system sciences

Kernel methods are powerful machine learning techniques which use generic non-linear functions to solve complex tasks. They have a solid mathematical foundation and exhibit excellent performance in practice. However, kernel machines are still considered black-box models as the kernel feature mapping...

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Detalles Bibliográficos
Autores principales: Johnson, J. Emmanuel, Laparra, Valero, Pérez-Suay, Adrián, Mahecha, Miguel D., Camps-Valls, Gustau
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595302/
https://www.ncbi.nlm.nih.gov/pubmed/33119617
http://dx.doi.org/10.1371/journal.pone.0235885

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595302/
https://www.ncbi.nlm.nih.gov/pubmed/33119617
http://dx.doi.org/10.1371/journal.pone.0235885

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