Internal model control based on a Gaussian process prior model.
Gregor GregorcicGordon LightbodyPublished in: ACC (2003)
Keyphrases
- gaussian process
- prior model
- internal model control
- hyperparameters
- maximum a posteriori
- posterior distribution
- bayesian framework
- prior information
- latent variables
- markov random field
- model selection
- regression model
- noisy images
- semi supervised
- maximum likelihood
- energy function
- random sampling
- bayesian inference
- image reconstruction
- support vector
- machine learning
- em algorithm
- prior knowledge
- cross validation
- least squares
- active learning
- evolutionary algorithm
- feature selection