Revealing Time-Varying Joint Impedance With Kernel-Based Regression and Nonparametric Decomposition.
Mark van de RuitGaia CavalloJohn LataireFrans C. T. van der HelmWinfred MuggeJan-Willem van WingerdenAlfred C. SchoutenPublished in: IEEE Trans. Control. Syst. Technol. (2020)
Keyphrases
- nonparametric regression
- kernel ridge regression
- sparse kernel
- support vector
- regression model
- kernel methods
- data driven
- decomposition methods
- regression analysis
- regression methods
- regression problems
- online learning
- support vector regression
- decomposition algorithm
- regression algorithm
- feature selection
- support vector machine
- polynomial regression
- position control
- gradient boosting
- locally weighted
- hierarchical bayesian
- genetic programming
- model selection
- kernel density estimation
- linear regression
- data sets
- gaussian processes
- parametric models