On the use of gap metric for model selection in multilinear model-based control.
Omar GalanJosé A. RomagnoliYaman ArkunAhmet PalazogluPublished in: ACC (2000)
Keyphrases
- model selection
- cross validation
- bayesian learning
- hyperparameters
- sample size
- error estimation
- information criterion
- regression model
- motion segmentation
- parameter estimation
- machine learning
- statistical inference
- meta learning
- gaussian process
- statistical learning
- mixture model
- generalization error
- feature selection
- model selection criteria
- variable selection
- leave one out cross validation
- selection criterion
- marginal likelihood
- active learning
- data sets
- bayesian model selection