Uncertainty quantification by direct propagation of shallow ensembles
Statistical learning algorithms provide a generally-applicable framework to sidestep time-consuming experiments, or accurate physics-based modeling, but they introduce a further source of error on top of the intrinsic limitations of the experimental or theoretical setup. Uncertainty estimation is es...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IOP Publishing
2024-01-01
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| coleção: | Machine Learning: Science and Technology |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1088/2632-2153/ad594a |
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