Data-driven learning of differential equations: combining data and model uncertainty.
Karl GlasnerPublished in: Comput. Appl. Math. (2023)
Keyphrases
- data driven
- prior knowledge
- learning models
- differential equations
- data sets
- experimental data
- input data
- learned models
- probability distribution
- statistical methods
- learning algorithm
- mathematical model
- training data
- pattern recognition
- image processing
- edge detection
- missing data
- bayesian networks
- dynamical systems
- uncertain data