Minimax nonparametric classification - Part II: Model selection for adaptation.
Yuhong YangPublished in: IEEE Trans. Inf. Theory (1999)
Keyphrases
- model selection
- cross validation
- covariate shift
- statistical learning
- hyperparameters
- statistical inference
- sample size
- machine learning
- regression model
- feature selection
- parameter estimation
- bayesian approaches
- generalization error
- error estimation
- mixture model
- gaussian process
- bayesian methods
- bayesian learning
- leave one out cross validation
- marginal likelihood
- selection criterion
- unsupervised learning
- model selection criteria
- classification accuracy
- information criterion
- variable selection
- bayesian information criterion
- active learning
- feature vectors
- parameter determination