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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...
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| Foilsithe in: | PLoS One |
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| Main Authors: | , , , , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
Public Library of Science
2020
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7595302/ https://ncbi.nlm.nih.gov/pubmed/33119617 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0235885 |
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