Nested polynomial trends for the improvement of Gaussian process-based predictors.
Guillaume PerrinChristian SoizeSophie Marque-PucheuJosselin GarnierPublished in: J. Comput. Phys. (2017)
Keyphrases
- gaussian process
- gaussian processes
- gaussian process regression
- regression model
- bayesian framework
- model selection
- approximate inference
- gaussian process classification
- latent variables
- conditional distribution
- gaussian process models
- hyperparameters
- semi supervised
- dynamical model
- expectation propagation
- sparse approximations
- bayesian inference
- fully bayesian
- image segmentation
- generative model
- maximum likelihood
- support vector