GP-UKF: Unscented kalman filters with Gaussian process prediction and observationmodels.
Jonathan KoDaniel J. KleinDieter FoxDirk HähnelPublished in: IROS (2007)
Keyphrases
- gaussian process
- covariance function
- gaussian process models
- unscented kalman
- gaussian processes
- sparse approximations
- gaussian process regression
- genetic programming
- approximate inference
- regression model
- model selection
- latent variables
- hyperparameters
- bayesian framework
- semi supervised
- sparse representation
- particle filter
- support vector
- cross validation
- expectation propagation
- sample size
- latent space
- random variables
- co occurrence