Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons.
Apostolos F. PsarosXuhui MengZongren ZouLing GuoGeorge Em KarniadakisPublished in: J. Comput. Phys. (2023)
Keyphrases
- machine learning methods
- machine learning
- machine learning algorithms
- ensemble methods
- machine learning approaches
- statistical methods
- uncertain data
- scientific data
- post hoc
- evaluation metrics
- inherent uncertainty
- scientific discovery
- decision theory
- similarity metrics
- scientific disciplines
- decision trees
- science education
- real world
- conditional probabilities
- incomplete information
- decision making