Increasing classification efficiency with multiple mirror classifiers.
Shaomin MuShengfeng TianChuanhuan YinPublished in: Expert Syst. Appl. (2008)
Keyphrases
- classification systems
- decision trees
- support vector
- classification process
- classification algorithm
- classification method
- classification decisions
- decision boundary
- classification models
- class labels
- multi category
- rule based classifier
- improves the classification accuracy
- classification schemes
- machine learning methods
- svm classifier
- classification accuracy
- training set
- accurate classification
- training samples
- classifier combination
- pattern recognition
- classification rate
- k nearest neighbour
- majority voting
- feature set
- optimum path forest
- supervised classification
- support vector machine svm
- final classification
- machine learning algorithms
- probabilistic classifiers
- higher classification accuracy
- classification procedure
- multiple classifiers
- support vector machine classifiers
- individual classifiers
- training data
- machine learning
- image classification
- supervised learning
- pattern classification
- nearest neighbor classifier
- decision tree classifiers
- classification scheme
- support vector machine
- correctly classified
- feature selection
- naive bayes classifier
- nearest neighbour
- text classification
- naive bayes
- multiclass classification
- training examples
- imbalanced data sets
- extracted features
- high classification accuracy
- roc analysis
- combining multiple
- multiple classifier systems
- knn
- feature vectors
- ensemble classifier
- classifier ensemble