A noise-tolerant approach to fuzzy-rough feature selection.
Chris CornelisRichard JensenPublished in: FUZZ-IEEE (2008)
Keyphrases
- noise tolerant
- feature selection
- instance based learning algorithms
- noisy data
- text categorization
- feature space
- support vector
- support vector machine
- high dimensionality
- feature extraction
- agnostic learning
- text classification
- special case
- classification accuracy
- feature set
- classification models
- machine learning
- supervised learning
- model selection
- statistical queries