Understanding climate change with statistical downscaling and machine learning.
Machine learning methods have recently created high expectations in the climate modelling context in view of addressing climate change, but they are often considered as non-physics-based 'black boxes' that may not provide any understanding. However, in many ways, understanding seems indispensable to...
| Publicado en: | Synthese Vol. 199; no. 1/2; pp. 1877 - 1898 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Springer Nature
Dec2021
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |