A Data-Driven Method for Parametric PDE Eigenvalue Problems Using Gaussian Process with Different Covariance Functions.
Moataz M. AlghamdiFleurianne BertrandDaniele BoffiAbdul HalimPublished in: Comput. Methods Appl. Math. (2024)
Keyphrases
- gaussian process
- eigenvalue problems
- covariance function
- gaussian processes
- gaussian process regression
- regression model
- bayesian framework
- model selection
- hyperparameters
- approximate inference
- latent variables
- semi supervised
- expectation propagation
- level set
- image denoising
- bayesian inference
- non stationary
- missing values
- data sets
- support vector
- training data
- image segmentation