Feature Relevance Bounds for Linear Classification.
Christina GöpfertLukas PfannschmidtBarbara HammerPublished in: ESANN (2017)
Keyphrases
- linear classification
- feature relevance
- feature selection
- linear classifiers
- document classification
- feature weighting
- lower bound
- maximum margin
- upper bound
- active learning
- generalization error
- text categorization
- feature space
- multi class
- text classification
- support vector machine
- feature subset
- hyperplane
- neural network
- co occurrence
- relevance feedback
- classification accuracy
- decision trees