Semi-supervised network regression with Gaussian process.
Myungjun KimDong-Gi LeeHyunjung ShinPublished in: BigComp (2022)
Keyphrases
- gaussian process
- semi supervised
- gaussian processes
- gaussian process regression
- regression model
- covariance function
- sparse approximations
- gaussian process classification
- semi supervised learning
- model selection
- reproducing kernel hilbert space
- kernel logistic regression
- labeled data
- approximate inference
- bayesian framework
- active learning
- supervised learning
- conditional distribution
- pairwise
- hyperparameters
- latent variables
- marginal likelihood
- image reconstruction
- support vector
- generative model
- expectation propagation
- gaussian process models
- closed form
- data sets
- maximum likelihood
- graphical models
- probabilistic model
- feature selection