Semi-Supervised Model Selection Based on Cross-Validation.
Matti KääriäinenPublished in: IJCNN (2006)
Keyphrases
- cross validation
- model selection
- semi supervised
- hyperparameters
- semi supervised learning
- variable selection
- labeled data
- unlabeled data
- parameter estimation
- supervised learning
- generalization error
- error estimation
- pairwise
- mixture model
- feature selection
- gaussian process
- regression model
- sample size
- information criterion
- selection criterion
- model selection criteria
- pairwise constraints
- meta learning
- active learning
- metric learning
- statistical inference
- machine learning
- generative model
- probability distribution
- support vector
- bayesian methods
- kernel matrix
- leave one out cross validation
- incremental learning