On active learning for Gaussian process-based global sensitivity analysis.
Mohit ChauhanMariel Ojeda-TuzRyan CatarelliKurtis R. GurleyDimitrios TsapetisMichael D. ShieldsPublished in: Reliab. Eng. Syst. Saf. (2024)
Keyphrases
- sensitivity analysis
- gaussian process
- active learning
- semi supervised
- gaussian processes
- gaussian process regression
- bayesian framework
- managerial insights
- approximate inference
- latent variables
- regression model
- variational inequalities
- gaussian process models
- model selection
- hyperparameters
- gaussian process classification
- random sampling
- covariance function
- sparse approximations
- expectation propagation
- pairwise
- learning algorithm
- non stationary
- supervised learning
- probabilistic model
- support vector