Accounting for Input Noise in Gaussian Process Parameter Retrieval.
Juan Emmanuel JohnsonValero LaparraGustau Camps-VallsPublished in: CoRR (2020)
Keyphrases
- gaussian process
- gaussian processes
- gaussian process regression
- hyperparameters
- noise level
- approximate inference
- bayesian framework
- regression model
- latent variables
- model selection
- gaussian process classification
- input data
- signal to noise ratio
- gaussian process models
- semi supervised
- information retrieval
- covariance function
- noise model
- image processing
- sparse approximations
- noise reduction
- parameter settings
- cross validation
- prior knowledge