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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| 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 |