Numerical issues in maximum likelihood parameter estimation for Gaussian process regression.
Subhasish BasakSébastien PetitJulien BectEmmanuel VázquezPublished in: CoRR (2021)
Keyphrases
- parameter estimation
- maximum likelihood
- gaussian process regression
- gaussian processes
- gaussian process
- hyperparameters
- em algorithm
- maximum likelihood estimation
- expectation maximization
- likelihood function
- maximum a posteriori
- parameter values
- random fields
- approximate inference
- parameter estimation algorithm
- gaussian distribution
- covariance matrices
- synthetic aperture radar
- parameter learning
- parameter estimates
- computer vision