Automatic Classifier Selection Based on Classification Complexity.
Liping DengWen-Sheng ChenBinbin PanPublished in: PRCV (3) (2018)
Keyphrases
- classification scheme
- classification process
- classification method
- svm classifier
- support vector
- classification algorithm
- decision trees
- classification rate
- class labels
- support vector machine
- classification models
- feature space
- classification schemes
- training samples
- training set
- learning vector quantization
- accurate classification
- pattern classification
- final classification
- machine learning
- selection criterion
- high classification accuracy
- feature selection
- classification accuracy
- multiple classifiers
- classifier combination
- hierarchical classification
- nearest neighbor rule
- probabilistic classifiers
- decision boundary
- higher classification accuracy
- nearest neighbor classifier
- k nearest neighbour
- robust classification
- supervised classification
- feature set
- feature extraction and classification
- text classification
- bayesian classifier
- multi class classifier
- instance selection
- multi category
- pattern recognition
- fuzzy support vector machine
- training data
- fold cross validation
- binary classifiers
- wrapper method
- multi layer perceptron
- classification decisions
- binary decision tree
- sequential forward selection
- decision tree classifiers
- accurate classifiers
- feature reduction
- learning phase
- ensemble classifier
- roc curve
- training process
- support vector machine svm
- text categorization
- image classification
- supervised learning
- feature extraction
- learning algorithm