Correcting Binary Imprecise Classifiers: Local vs Global Approach.
Sébastien DesterckeBenjamin QuostPublished in: SUM (2012)
Keyphrases
- binary classifiers
- training data
- decision trees
- error correcting output codes
- support vector
- linear classifiers
- supervised classification
- class labels
- feature selection
- classification systems
- machine learning algorithms
- naive bayes
- multi class
- test set
- classification method
- hamming distance
- training samples
- feature set
- learning classifier systems
- global information
- feature extraction
- binary classification problems