Constrained classifier: a novel approach to nonlinear classification.
H. AbbassiReza MonsefiHadi Sadoghi YazdiPublished in: Neural Comput. Appl. (2013)
Keyphrases
- classification scheme
- classification method
- decision trees
- classification algorithm
- classification process
- classification rate
- class labels
- final classification
- support vector machine
- feature selection
- support vector
- training samples
- svm classifier
- learning vector quantization
- nearest neighbor classifier
- hierarchical classification
- classification models
- supervised classification
- classification accuracy
- classification schemes
- training data
- pattern recognition
- multiple classifiers
- feature space
- robust classification
- accurate classification
- machine learning
- probabilistic classifiers
- high classification accuracy
- fuzzy classifier
- training set
- feature set
- multiclass classification
- rule based classifier
- correctly classified
- decision boundary
- support vector machine svm
- associative classifiers
- fold cross validation
- classifier combination
- individual classifiers
- supervised learning
- classification decisions
- binary classifiers
- feature reduction
- feature extraction
- pattern classification
- pixel classification
- image classification
- nearest neighbor rule
- bayesian classifier
- combining classifiers
- multi category
- neural network
- binary decision tree
- higher classification accuracy
- multiple classifier systems
- svm classification
- learning phase
- ensemble classifier
- multiple kernel learning
- multi layer perceptron
- training process
- cost sensitive
- model selection
- text classification