Principal component analysis for Gaussian process posteriors.
Hideaki IshibashiShotaro AkahoPublished in: CoRR (2021)
Keyphrases
- gaussian process
- principal component analysis
- gaussian processes
- posterior distribution
- bayesian framework
- hyperparameters
- regression model
- latent variables
- gaussian process regression
- semi supervised
- dimensionality reduction
- gaussian process classification
- approximate inference
- posterior probability
- covariance matrix
- model selection
- covariance function
- bayesian inference
- low dimensional
- face recognition
- feature extraction
- sparse approximations
- generative model
- gaussian process models
- lower dimensional
- probabilistic model
- closed form
- cross validation
- pairwise
- expectation propagation