Gaussian process regression and conditional polynomial chaos for parameter estimation.
Jing LiAlexandre M. TartakovskyPublished in: J. Comput. Phys. (2020)
Keyphrases
- parameter estimation
- gaussian process regression
- gaussian process
- model selection
- maximum likelihood
- markov random field
- em algorithm
- gaussian processes
- least squares
- parameter estimation algorithm
- random fields
- markov fields
- approximate inference
- active learning
- expectation maximization
- estimation problems
- cross validation
- parameter estimates
- edge detection
- co occurrence
- image sequences
- image processing