Evolving Gaussian Process kernels from elementary mathematical expressions.
Ibai RomanRoberto SantanaAlexander MendiburuJosé Antonio LozanoPublished in: CoRR (2019)
Keyphrases
- gaussian process
- mathematical expressions
- gaussian processes
- covariance function
- gaussian process classification
- reproducing kernel hilbert space
- gaussian process regression
- hyperparameters
- model selection
- approximate inference
- latent variables
- semi supervised
- support vector
- bayesian framework
- regression model
- character recognition
- kernel methods
- kernel function
- expectation propagation
- gaussian process models
- sample size
- linear combination
- sparse approximations
- bayesian inference
- denoising
- feature space
- learning algorithm