An Empirical Study of Hoeffding Racing for Model Selection in k-Nearest Neighbor Classification.
Flora Yu-Hui YehMarcus GallagherPublished in: IDEAL (2005)
Keyphrases
- model selection
- cross validation
- hyperparameters
- parameter estimation
- statistical learning
- regression model
- bayesian learning
- sample size
- mixture model
- machine learning
- feature selection
- meta learning
- variable selection
- error estimation
- model selection criteria
- selection criterion
- decision trees
- gaussian process
- statistical inference
- leave one out cross validation
- marginal likelihood
- bayesian information criterion
- generalization error
- generalization bounds
- likelihood function
- bayesian methods
- incomplete data
- motion segmentation
- similarity measure
- automatic model selection