Likelihood-based Vs Distance-based Evidential Classifiers.
Patrick VannoorenbergheThierry DenoeuxPublished in: FUZZ-IEEE (2001)
Keyphrases
- support vector
- training data
- feature selection
- classification systems
- decision trees
- multiple classifiers
- linear classifiers
- likelihood ratio
- outlier detection
- test set
- class labels
- svm classifier
- euclidean distance
- classification method
- individual classifiers
- classification algorithm
- classification models
- genetic algorithm
- naive bayes
- distance measure
- feature set
- training set
- machine learning algorithms
- machine learning methods
- posterior probability
- training examples
- classification rate
- supervised classification
- likelihood function
- classifier combination
- active learning
- likelihood model