Incremental sparse GP regression for continuous-time trajectory estimation and mapping.
Xinyan YanVadim IndelmanByron BootsPublished in: Robotics Auton. Syst. (2017)
Keyphrases
- covariance function
- genetic programming
- gaussian process regression
- regression problems
- gaussian processes
- sparse approximations
- gaussian process
- semi parametric
- symbolic regression
- relevance vector machine
- regularized regression
- linear regression
- sparse representation
- generalized linear models
- regression model
- sparse regression
- nonparametric regression
- sparse bayesian learning
- simple linear
- fitness function
- trajectory data
- markov chain
- ordinary least squares
- incremental learning
- density estimation
- sparse data
- ridge regression
- evolutionary algorithm
- estimation accuracy
- robust regression
- compressive sensing
- sparse kernel
- high dimensional
- markov processes
- probabilistic model
- parameter estimation
- non stationary
- support vector
- iterative learning control
- regression methods
- elastic net
- regression function