Uncertainty Quantification in Scientific Machine Learning: Methods, Metrics, and Comparisons.
Apostolos F. PsarosXuhui MengZongren ZouLing GuoGeorge Em KarniadakisPublished in: CoRR (2022)
Keyphrases
- machine learning methods
- machine learning
- machine learning algorithms
- machine learning approaches
- ensemble methods
- statistical methods
- uncertain data
- scientific data
- quantitative evaluation
- neural network
- similarity metrics
- decision theory
- scientific discovery
- learned knowledge
- artificial intelligence
- scientific knowledge
- error metrics
- data sets
- scientific literature
- inherent uncertainty
- uncertain information
- possibility theory
- science education
- evaluation methods
- belief functions
- text classification
- learning algorithm
- data mining