A batch ensemble approach to active learning with model selection.
Masashi SugiyamaNeil RubensPublished in: Neural Networks (2008)
Keyphrases
- model selection
- active learning
- batch mode
- machine learning
- cross validation
- statistical learning
- hyperparameters
- bayesian learning
- mixture model
- regression model
- parameter estimation
- semi supervised
- generalization error
- supervised learning
- random sampling
- learning algorithm
- incremental learning
- variable selection
- meta learning
- error estimation
- motion segmentation
- sample size
- training set
- learning process
- leave one out cross validation
- information criterion
- multivariate regression
- gaussian process
- model selection criteria
- labeled data
- selection criterion
- statistical inference
- bayesian model selection