Active Learning Algorithms for Graphical Model Selection.
Gautam DasarathyAarti SinghMaria-Florina BalcanJong Hyuk ParkPublished in: AISTATS (2016)
Keyphrases
- model selection
- learning algorithm
- machine learning
- cross validation
- generalization error
- learning machines
- hyperparameters
- parameter estimation
- bayesian learning
- selection criterion
- mixture model
- sample size
- meta learning
- machine learning algorithms
- statistical learning
- unsupervised learning
- error estimation
- regression model
- learning tasks
- statistical inference
- active learning
- leave one out cross validation
- parameter determination
- gaussian process
- supervised learning
- feature selection
- bayesian methods
- variable selection
- model selection criteria
- learning problems
- bayesian information criterion
- training data
- information criterion