A Generalized Probabilistic Learning Approach for Multi-Fidelity Uncertainty Propagation in Complex Physical Simulations.
Jonas NitzlerJonas BiehlerNiklas FehnPhaedon-Stelios KoutsourelakisWolfgang A. WallPublished in: CoRR (2020)
Keyphrases
- uncertain data
- reinforcement learning
- learning analytics
- learning process
- learning systems
- learning algorithm
- online learning
- real world
- supervised learning
- active learning
- learning community
- prior knowledge
- bayesian networks
- case study
- inference process
- learning objects
- physical systems
- incremental learning
- mobile learning
- background knowledge
- complex systems
- probabilistic model
- machine learning