On the Maximum Likelihood Training of Gradient-Enhanced Spatial Gaussian Processes.
Ralf ZimmermannPublished in: SIAM J. Sci. Comput. (2013)
Keyphrases
- gaussian processes
- maximum likelihood
- hyperparameters
- gaussian process
- gaussian process regression
- covariance function
- em algorithm
- multi task learning
- gaussian process models
- cross validation
- random sampling
- model selection
- preference learning
- maximum a posteriori
- training set
- multi task
- expectation maximization
- gaussian distribution
- closed form
- human pose estimation
- bayesian inference
- incomplete data
- bayesian framework
- prior information
- learning tasks
- sample size
- text categorization
- support vector