Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity.
Quan LinJiexiang HuQi ZhouYuansheng ChengZhen HuIvo CouckuytTom DhaenePublished in: Knowl. Based Syst. (2021)
Keyphrases
- computationally expensive
- gaussian process
- gaussian process models
- gaussian processes
- computationally efficient
- hyperparameters
- approximate inference
- semi supervised
- image segmentation
- latent variables
- bayesian framework
- model selection
- regression model
- state space
- search space
- gaussian process regression
- iterative methods
- marginal likelihood
- covariance function
- data mining
- sparse approximations