Large-Scale Gaussian Process Regression Based on Random Fourier Features and Local Approximation with Tsallis Entropy.
Hongli ZhangJinglei LiuPublished in: IEICE Trans. Inf. Syst. (2023)
Keyphrases
- gaussian process
- expectation propagation
- gaussian processes
- marginal likelihood
- gaussian process regression
- covariance function
- regression model
- approximate inference
- model selection
- bayesian framework
- sparse approximations
- sparse approximation
- latent variables
- feature extraction
- hyperparameters
- gaussian process classification
- co occurrence
- semi supervised
- prior knowledge
- feature space
- multiscale
- em algorithm
- gaussian process models
- higher order