Dissimilarity representations allow for building good classifiers.
Elzbieta PekalskaRobert P. W. DuinPublished in: Pattern Recognit. Lett. (2002)
Keyphrases
- training data
- decision trees
- linear classifiers
- supervised classification
- feature representations
- classification systems
- training samples
- classification rate
- test set
- naive bayes
- training set
- support vector
- ensemble classifier
- svm classifier
- representation scheme
- majority voting
- multiple classifiers
- dissimilarity measure
- ensemble learning
- classification algorithm
- neural network
- machine learning algorithms
- higher level
- text classification
- learning algorithm