An Application of Gaussian Process Modeling for High-order Accurate Adaptive Mesh Refinement Prolongation.
Steven I. ReevesDongwook LeeAdam ReyesCarlo GrazianiPetros TzeferacosPublished in: CoRR (2020)
Keyphrases
- high order
- gaussian process
- mesh refinement
- gaussian processes
- higher order
- gaussian process models
- gaussian process regression
- regression model
- bayesian framework
- approximate inference
- latent variables
- model selection
- semi supervised
- hyperparameters
- pairwise
- multi task learning
- lower order
- expectation propagation
- sparse approximations
- bayesian logistic regression
- markov random field
- cross validation
- computer vision
- closed form
- support vector