Multi-step prediction of nonlinear Gaussian Process dynamics models with adaptive Gaussian mixtures.
Jason HardyFrank HavlakMark E. CampbellPublished in: Int. J. Robotics Res. (2015)
Keyphrases
- gaussian process models
- gaussian process
- multi step
- gaussian processes
- gaussian mixture
- bayesian framework
- model selection
- regression model
- semi supervised
- probability density function
- machine learning
- active learning
- pairwise
- prior knowledge
- statistical models
- gaussian mixture model
- data sets
- expectation maximization
- linear combination
- em algorithm
- latent variables
- graphical models
- feature extraction
- approximate inference
- image processing
- learning algorithm
- worst case