paper
2019
Explainability, uncertainty & physics
New model or method
Classical ML (trees, GP, linear, kernels) Preprint
2019-05-15
008
May 2019
Cosmin Safta
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Applies machine learning to global sensitivity analysis of Earth system models; abstract unavailable, so scope is inferred from the title.
Explainability, uncertainty & physics
Machine Learning Techniques for Global Sensitivity Analysis in Earth System Models.
In one sentence. Applies machine learning to global sensitivity analysis of Earth system models; abstract unavailable, so scope is inferred from the title.
Labels
- Topic
- Explainability, uncertainty & physics
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Global
- Data
- Other
- Status
- Research
- Identifiers
- OpenAlex:W4297663160
- Added
- 2026-10-22
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