Gaussian Process Regression and Conditional Polynomial Chaos for Parameter Estimation.
Jing LiAlexandre M. TartakovskyPublished in: CoRR (2019)
Keyphrases
- parameter estimation
- gaussian process regression
- gaussian process
- model selection
- maximum likelihood
- gaussian processes
- least squares
- markov random field
- parameter values
- random fields
- em algorithm
- markov fields
- approximate inference
- hyperparameters
- parameter estimation algorithm
- parameter estimates
- expectation maximization
- estimation problems
- image processing
- regression model