Fast Model-Selection through Adapting Design of Experiments Maximizing Information Gain.
Stefano BaliettiBrennan KleinChristoph RiedlPublished in: CoRR (2018)
Keyphrases
- model selection
- information gain
- feature selection
- cross validation
- sample size
- hyperparameters
- decision trees
- variable selection
- machine learning
- model selection criteria
- marginal likelihood
- mixture model
- text categorization
- generalization error
- mutual information
- chi squared
- posterior distribution
- automatic model selection
- unsupervised learning
- classification accuracy
- image analysis
- objective function
- computer vision