Iterative Methods for Full-Scale Gaussian Process Approximations for Large Spatial Data.
Tim GygerReinhard FurrerFabio SigristPublished in: CoRR (2024)
Keyphrases
- spatial data
- gaussian process
- iterative methods
- expectation propagation
- sparse approximations
- gaussian processes
- spatial databases
- approximate inference
- computationally expensive
- spatial data mining
- gaussian process regression
- geographic information systems
- regression model
- bayesian framework
- latent variables
- semi supervised
- hyperparameters
- model selection
- constrained optimization
- spatial objects
- data analysis
- closed form
- gaussian process models
- iterative algorithms
- spatial database systems
- cross validation
- image reconstruction
- neural model
- machine learning
- computational complexity
- image processing