Binary naive possibilistic classifiers: Handling uncertain inputs.
Salem BenferhatKarim TabiaPublished in: Int. J. Intell. Syst. (2009)
Keyphrases
- possibility theory
- binary classifiers
- possibilistic networks
- support vector
- test set
- error correcting output codes
- linear classifiers
- training data
- classification systems
- naive bayes
- feature set
- multi class
- incomplete information
- decision trees
- possibilistic logic
- training samples
- continuous valued
- majority voting
- feature selection
- binary features
- multiple classifiers
- uncertain information
- training set
- training examples
- binary classification problems
- classifier ensemble
- inference process
- data sets
- conditional independence
- binary classification