Active Learning for Undirected Graphical Model Selection.
Divyanshu VatsRobert D. NowakRichard G. BaraniukPublished in: CoRR (2014)
Keyphrases
- model selection
- active learning
- machine learning
- cross validation
- parameter estimation
- regression model
- sample size
- hyperparameters
- bayesian learning
- semi supervised
- error estimation
- model selection criteria
- meta learning
- statistical learning
- motion segmentation
- random sampling
- statistical inference
- training set
- variable selection
- gaussian process
- generalization error
- supervised learning
- learning process
- information criterion
- learning algorithm
- marginal likelihood
- selection criterion
- mixture model
- sample complexity
- feature selection
- bayesian information criterion
- closed form
- automatic model selection