A Strategy for Adaptive Sampling of Multi-fidelity Gaussian Process to Reduce Predictive Uncertainty.
Sayan GhoshJesper KristensenYiming ZhangWaad SubberLiping WangPublished in: CoRR (2019)
Keyphrases
- gaussian process
- adaptive sampling
- gaussian process models
- gaussian processes
- regression model
- random sampling
- hyperparameters
- gaussian process regression
- model selection
- bayesian framework
- monte carlo
- approximate inference
- latent variables
- semi supervised
- machine learning
- noise level
- cross validation
- markov chain
- dimensionality reduction
- probability distribution
- probabilistic model
- image segmentation