Non-parametric regression for robot learning on manifolds.
Pablo C. López-CustodioKarthik BharathA. KucukyilmazS. P. PrestonPublished in: CoRR (2023)
Keyphrases
- gaussian processes
- regression model
- locally linear
- semi parametric
- gaussian process
- regression problems
- euclidean space
- ridge regression
- locally weighted
- manifold learning
- linear regression
- low dimensional
- support vector regression
- reproducing kernel hilbert space
- simple linear
- regression method
- polynomial regression
- aggregating algorithm
- endoscopic video
- regression analysis
- probability density function
- high dimensional data
- model selection
- high dimensional
- pairwise
- partial least squares
- lie group
- regression algorithm
- genetic programming
- cell complexes
- support vector
- machine learning
- neural network