Large-Scale Heteroscedastic Regression via Gaussian Process.
Haitao LiuYew-Soon OngJianfei CaiPublished in: IEEE Trans. Neural Networks Learn. Syst. (2021)
Keyphrases
- gaussian process
- gaussian processes
- regression model
- gaussian process regression
- model selection
- covariance function
- sparse approximations
- approximate inference
- gaussian process classification
- hyperparameters
- latent variables
- bayesian framework
- gaussian process models
- semi supervised
- conditional distribution
- expectation propagation
- cross validation
- human pose estimation
- prior knowledge
- machine learning
- gaussian distribution
- data sets
- sparse representation
- non stationary
- bayesian methods
- feature selection