Incremental Sparse GP Regression for Continuous-Time Trajectory Estimation and Mapping.
Xinyan YanVadim IndelmanByron BootsPublished in: ISRR (2) (2015)
Keyphrases
- covariance function
- gaussian processes
- regression problems
- gaussian process regression
- genetic programming
- sparse approximations
- regularized regression
- gaussian process
- generalized linear models
- regression model
- linear regression
- sparse regression
- sparse bayesian learning
- robust regression
- sparse representation
- relevance vector machine
- ordinary least squares
- symbolic regression
- estimation algorithm
- non stationary
- high dimensional
- estimation problems
- incremental learning
- nonparametric regression
- trajectory data
- semi parametric
- parameter estimation
- markov processes
- estimation accuracy
- sparse kernel
- regression algorithm
- support vector regression
- cross validation
- iterative learning control
- feature selection
- estimation error
- multi task
- model selection
- support vector