In-Situ Spatial Inference on Climate Simulations with Sparse Gaussian Processes.
Michael GrosskopfEarl LawrenceAyan BiswasLi TangKelin RumseyLuke Van RoekelNathan UrbanPublished in: ISAV@SC (2021)
Keyphrases
- gaussian processes
- covariance function
- gaussian process
- gaussian process regression
- relevance vector machine
- dirichlet process
- human pose estimation
- preference learning
- multi task learning
- non stationary
- hyperparameters
- gaussian process models
- training data
- model selection
- multi task
- bayesian inference
- training set
- approximate inference
- bayesian framework
- regression model
- pose estimation
- semi supervised
- multi class
- pairwise