An adaptive model hierarchy for data-augmented training of kernel models for reactive flow.
Bernard HaasdonkMario OhlbergerFelix SchindlerPublished in: CoRR (2021)
Keyphrases
- accurate models
- experimental data
- statistical methods
- learned models
- prior knowledge
- data sets
- probabilistic model
- modeling framework
- learning models
- statistical model
- predictive model
- missing data
- linear model
- metamodel
- explanatory variables
- models built
- dimensional vector
- database
- discrete data
- empirical data
- hybrid model
- neural network model
- hierarchical structure
- data analysis
- input data
- training examples
- computational model
- probability distribution
- data points
- subject specific
- high level
- training samples
- parameter estimation
- statistical models
- autoregressive
- classification models
- mathematical model
- computational models
- data sources
- temporal dependencies
- reactive systems
- artificial neural networks
- autoregressive moving average
- gaussian processes
- data mining techniques
- hidden variables
- historical data
- process model
- prediction model
- training data
- network structure