Active Learning with Model Selection in Linear Regression.
Masashi SugiyamaNeil RubensPublished in: SDM (2008)
Keyphrases
- linear regression
- model selection
- active learning
- least squares
- machine learning
- cross validation
- multivariate regression
- parameter estimation
- hyperparameters
- regression model
- generalization error
- sample size
- random sampling
- regression methods
- selection criterion
- learning algorithm
- ridge regression
- semi supervised
- mixture model
- training set
- feature selection
- variable selection
- information criterion
- model selection criteria
- gaussian process
- data sets
- learning machines