Using Meta-Learning to Initialize Bayesian Optimization of Hyperparameters.
Matthias FeurerJost Tobias SpringenbergFrank HutterPublished in: MetaSel@ECAI (2014)
Keyphrases
- meta learning
- hyperparameters
- model selection
- grid search
- gaussian processes
- cross validation
- bayesian inference
- gaussian process
- learning tasks
- inductive learning
- maximum likelihood
- feature selection
- machine learning algorithms
- sample size
- machine learning
- closed form
- prior information
- em algorithm
- incremental learning
- knowledge acquisition
- data sets
- metamodel
- noise level
- learning experience
- decision trees
- probabilistic model
- image processing