FeTa: A DCA Pruning Algorithm with Generalization Error Guarantees.
Konstantinos PitasMike E. DaviesPierre VandergheynstPublished in: CoRR (2018)
Keyphrases
- generalization error
- pruning algorithm
- active learning
- cross validation
- model selection
- upper bound
- learning algorithm
- training data
- sample size
- sample complexity
- training error
- training set
- supervised learning
- pruning algorithms
- vector quantizer
- data sets
- subspace information criterion
- boosting algorithms
- alpha beta
- worst case
- data streams
- decision trees
- machine learning