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