Learning gas distribution models using sparse Gaussian process mixtures.
Cyrill StachnissChristian PlagemannAchim J. LilienthalPublished in: Auton. Robots (2009)
Keyphrases
- gaussian process
- gaussian processes
- covariance function
- prior knowledge
- model selection
- learning algorithm
- learning process
- supervised learning
- probabilistic model
- non stationary
- learning tasks
- gaussian process regression
- gaussian process classification
- sparse approximations
- conditional distribution
- dynamical model
- multi task learning
- incremental learning
- latent variables
- bayesian framework
- active learning