Incremental Sparse GP Regression for Continuous-time Trajectory Estimation & Mapping.
Xinyan YanVadim IndelmanByron BootsPublished in: CoRR (2015)
Keyphrases
- covariance function
- gaussian processes
- sparse approximations
- genetic programming
- gaussian process regression
- regression problems
- regularized regression
- sparse representation
- gaussian process
- semi parametric
- sparse regression
- non stationary
- regression model
- sparse data
- symbolic regression
- sparse bayesian learning
- dynamical systems
- generalized linear models
- estimation accuracy
- estimation problems
- nonparametric regression
- ordinary least squares
- high dimensional
- regression method
- relevance vector machine
- incremental learning
- linear regression
- cross validation
- markov processes
- canonical correlation analysis
- ridge regression
- regression function
- compressive sensing
- fitness function
- state space
- probabilistic model
- reinforcement learning