Active Learning of Hyperparameters: An Expected Cross Entropy Criterion for Active Model Selection.
Johannes KulickRobert LieckMarc ToussaintPublished in: CoRR (2014)
Keyphrases
- model selection
- hyperparameters
- active learning
- cross validation
- random sampling
- gaussian process
- machine learning
- posterior distribution
- variational bayes
- bayesian learning
- parameter estimation
- gaussian processes
- meta learning
- sample size
- selection criterion
- bayesian methods
- feature selection
- marginal likelihood
- regression model
- semi supervised
- mixture model
- bayesian framework
- learning algorithm
- information criterion
- closed form
- upper bound
- maximum a posteriori
- data sets
- training set
- prior knowledge
- supervised learning