Kernelizing PLS, degrees of freedom, and efficient model selection.
Nicole KrämerMikio L. BraunPublished in: ICML (2007)
Keyphrases
- model selection
- degrees of freedom
- cross validation
- regression model
- bayesian learning
- hyperparameters
- parameter estimation
- motion planning
- pose estimation
- statistical inference
- feature selection
- machine learning
- mixture model
- marginal likelihood
- selection criterion
- sample size
- model selection criteria
- error estimation
- end effector
- parameter determination
- robotic arm
- variable selection
- configuration space
- information criterion
- generalization error
- three dimensional
- similarity measure
- human hand
- probabilistic model