Scalable Feature Selection for Multi-class Problems.
Boris ChidlovskiiLoïc LecerfPublished in: ECML/PKDD (1) (2008)
Keyphrases
- multi class problems
- feature selection
- multi class
- naive bayes
- class imbalance
- binary classification problems
- active learning
- support vector machine
- text categorization
- multi class classification
- information gain
- logistic regression
- feature set
- text classification
- machine learning
- cost sensitive learning
- feature extraction
- classification accuracy
- high dimensionality
- cost sensitive
- support vector
- data sets
- object detection
- feature subset
- base classifiers
- binary classifiers
- learning process
- decision trees
- binary classification
- training set
- multi task
- model selection
- supervised learning