Boosted Network Classifiers for Local Feature Selection.
Timothy HancockHiroshi MamitsukaPublished in: IEEE Trans. Neural Networks Learn. Syst. (2012)
Keyphrases
- feature selection
- support vector
- feature selection algorithms
- classification models
- feature set
- multi class
- bayes classifier
- mutual information
- classification accuracy
- machine learning
- decision trees
- information gain
- decision stumps
- ensemble learning
- feature subset
- text categorization
- feature ranking
- peer to peer
- high dimensionality
- small sample
- linear classifiers
- multiple classifiers
- naive bayes
- support vector machine
- training data
- feature extraction
- learning algorithm
- feature selection and classifier
- input features
- classifier combination
- linear discriminant
- ensemble classifier
- selected features
- meta learning
- complex networks
- network structure
- logistic regression
- class labels
- text classification
- dimensionality reduction
- active learning