Classifier Selection in a Family of Polyhedron Classifiers.
Tetsuji TakahashiMineichi KudoAtsuyoshi NakamuraPublished in: CIARP (2009)
Keyphrases
- linear classifiers
- individual classifiers
- multiple classifiers
- training data
- classifier systems
- support vector
- classifier combination
- svm classifier
- classification algorithm
- probabilistic classifiers
- classification rate
- nearest neighbor classifier
- rule based classifier
- classifier ensemble
- bayesian classifier
- neural classifier
- accurate classifiers
- classification method
- combining classifiers
- k nearest neighbour
- training set
- feature set
- classification process
- class labels
- binary classifiers
- training samples
- optimum path forest
- decision trees
- sequential forward selection
- fold cross validation
- final classification
- higher classification accuracy
- decision boundary
- learning classifier systems
- training instances
- ensemble classifier
- multiple classifier systems
- ensemble learning
- classifier training
- majority voting
- classification models
- decision tree classifiers
- weak classifiers
- majority vote
- nearest neighbor classifiers
- training examples
- multi class
- multi category
- classification decisions
- feature selection
- text classifiers
- class probabilities
- supervised classification
- extracted features
- nearest neighbour
- support vector machine
- convex hull
- unseen data
- naive bayes
- labeled training data
- naive bayes classifier
- learning algorithm
- correctly classified
- instance selection
- associative classifiers
- multiclass classification
- discriminative classifiers
- bayesian classifiers
- roc curve
- bayes classifier
- supervised classifiers
- multi label classification
- knn
- classification accuracy
- text classification
- supervised learning
- confusion matrix
- feature subset
- boosted classifiers