Feature selection with scalable variational gaussian process via sensitivity analysis based on L2 divergence.
Younghwan JeonGanguk HwangPublished in: Neurocomputing (2023)
Keyphrases
- sensitivity analysis
- gaussian process
- feature selection
- model selection
- gaussian processes
- approximate inference
- hyperparameters
- gaussian process regression
- regression model
- variational methods
- bayesian framework
- managerial insights
- semi supervised
- expectation propagation
- gaussian process models
- cross validation
- covariance function
- support vector
- image segmentation
- latent variables
- sparse approximations
- variational inequalities
- dimensionality reduction
- machine learning
- marginal likelihood
- special case
- high dimensional
- data sets