Machine Learning for Aerodynamic Uncertainty Quantification.
Dishi LiuDaigo MaruyamaStefan GörtzPublished in: ERCIM News (2020)
Keyphrases
- machine learning
- machine learning methods
- learning algorithm
- uncertain data
- learning problems
- semi supervised learning
- pattern recognition
- knowledge acquisition
- handling uncertainty
- dynamic model
- data analysis
- model selection
- inherent uncertainty
- inductive logic programming
- learning tasks
- machine learning algorithms
- computer vision
- feature selection
- decision trees
- website
- data mining
- text mining
- text classification
- natural language
- artificial intelligence
- active learning
- computational biology
- belief functions
- machine learning approaches
- quantitative evaluation
- incomplete information
- possibility theory
- uncertain information
- supervised machine learning
- databases
- statistical learning
- inductive learning
- training data
- learning systems
- bayesian networks
- reinforcement learning
- unsupervised learning
- database
- supervised learning
- information extraction