Model selection approaches for non-linear system identification: a review.
Xia HongRichard J. MitchellSheng ChenChris J. HarrisKang LiGeorge W. IrwinPublished in: Int. J. Syst. Sci. (2008)
Keyphrases
- model selection
- cross validation
- hyperparameters
- regression model
- sample size
- machine learning
- parameter estimation
- variable selection
- statistical learning
- motion segmentation
- model selection criteria
- generalization error
- bayesian learning
- marginal likelihood
- mixture model
- meta learning
- data sets
- feature selection
- bayesian methods
- selection criterion
- statistical inference
- error estimation
- automatic model selection
- information criterion
- high dimensional
- parameter determination