Machine Learning for Uncertainty Quantification: Trusting the Black Box
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Machine Learning for Uncertainty Quantification: Trusting the Black Box
Presenter: James Warner (NASA Langley Research Center) Adopting uncertainty quantification (UQ) has become a prerequisite for providing credibility in modeling and simulation (M&S) applications. It is well known, however, that UQ can be computationally prohibitive for problems involving expensive high-fidelity models, since a large number of ...
3.1K viewsJun 6, 2022
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