Compressing spectral kernels in Gaussian Process: Enhanced generalization and interpretability.
Kai ChenTwan van LaarhovenElena MarchioriPublished in: Pattern Recognit. (2024)
Keyphrases
- gaussian process
- gaussian processes
- covariance function
- gaussian process classification
- reproducing kernel hilbert space
- gaussian process regression
- regression model
- model selection
- approximate inference
- hyperparameters
- bayesian framework
- semi supervised
- expectation propagation
- latent variables
- support vector
- kernel function
- marginal likelihood
- gaussian process models
- sparse approximations
- multiple kernel learning
- co occurrence
- data sets
- maximum a posteriori
- cross validation
- non stationary
- feature space
- feature selection