Active Learning for Undirected Graphical Model Selection.
Divyanshu VatsRobert D. NowakRichard G. BaraniukPublished in: AISTATS (2014)
Keyphrases
- model selection
- active learning
- cross validation
- machine learning
- hyperparameters
- regression model
- bayesian learning
- generalization error
- parameter estimation
- mixture model
- sample size
- learning algorithm
- meta learning
- random sampling
- selection criterion
- supervised learning
- semi supervised
- error estimation
- variable selection
- training set
- feature selection
- model selection criteria
- statistical learning
- motion segmentation
- labeled data
- statistical inference
- bayesian methods
- leave one out cross validation
- automatic model selection
- gaussian process
- transfer learning
- graphical models
- bayesian networks