Multi-fidelity Gaussian process surrogate modeling for regression problems in physics.
Kislaya RaviVladyslav FediukovFelix DietrichTobias NeckelFabian BuseMichael BergmannHans-Joachim BungartzPublished in: CoRR (2024)
Keyphrases
- gaussian process
- regression problems
- hyperparameters
- cross validation
- model selection
- gaussian processes
- closed form
- bayesian inference
- bayesian framework
- gaussian process regression
- support vector
- random sampling
- prior information
- genetic programming
- regression model
- linear regression
- maximum likelihood
- em algorithm
- sample size
- noise level
- random forests
- input space
- incremental learning
- maximum a posteriori
- incomplete data
- high dimensional data
- missing values
- markov random field
- semi supervised
- learning machines
- data analysis
- feature selection