Physics-Informed CoKriging: A Gaussian-Process-Regression-Based Multifidelity Method for Data-Model Convergence.
Xiu YangDavid A. Barajas-SolanoGuzel TartakovskyAlexandre M. TartakovskyPublished in: CoRR (2018)
Keyphrases
- gaussian process
- data model
- gaussian process regression
- bayesian framework
- pairwise
- gaussian processes
- missing data
- covariance function
- data sets
- error rate
- non stationary
- fully bayesian
- hyperparameters
- prior information
- sliding window
- model selection
- dimensionality reduction
- worst case
- semi supervised
- probabilistic model
- prior knowledge
- high dimensional
- similarity measure