Polychotomous Classification with Pairwise Classifiers: A New Voting Principle.
Florin CutzuPublished in: Multiple Classifier Systems (2003)
Keyphrases
- pairwise
- majority voting
- classification systems
- classification models
- classification algorithm
- supervised classification
- classification method
- support vector
- accurate classification
- classification rate
- classification accuracy
- decision trees
- svm classifier
- k nearest neighbour
- improves the classification accuracy
- machine learning algorithms
- class labels
- multi category
- training set
- machine learning methods
- classification process
- binary classifiers
- multiclass classification
- rule based classifier
- pairwise classification
- multi class
- pattern recognition
- multiple classifiers
- text classification
- feature set
- classifier combination
- training data
- decision tree classifiers
- probabilistic classifiers
- feature selection
- training samples
- support vector machine
- supervised learning
- roc curve
- naive bayes
- higher classification accuracy
- optimum path forest
- classification decisions
- accurate classifiers
- learning algorithm
- feature space
- decision boundary
- multiple classifier systems
- weighted voting
- machine learning
- similarity measure
- discriminant functions
- knn
- structural risk minimization
- sufficient training data
- markov random field
- image classification
- classification procedure
- correctly classified
- ensemble classifier
- bayesian classifier
- nearest neighbor classifier