Feature selection based on complementarity of feature classification capability.
Fei GaoTian YuYang WeiHan JinJin-Mao WeiPublished in: ICMLC (2013)
Keyphrases
- feature selection
- feature set
- feature subset
- discriminative features
- classification accuracy
- irrelevant features
- feature vectors
- redundant features
- text classification
- support vector machine
- classification models
- support vector
- feature selection algorithms
- high dimensionality
- feature extraction
- decision trees
- feature weights
- input features
- feature space
- pattern recognition
- supervised feature selection
- feature weighting
- text categorization
- accurate classification
- feature ranking
- class separability
- feature selection and classification
- bayes classifier
- single feature
- method for feature selection
- microarray datasets
- wrapper feature selection
- class imbalance
- selection criterion
- machine learning
- model selection
- naive bayes
- classification algorithm
- fold cross validation
- multi task
- gene expression data
- data sets
- cross validation
- multiple features
- data pre processing
- unsupervised learning
- discriminatory power
- selecting features
- classification performances
- selected features
- mutual information
- conditional mutual information
- training data
- sequential forward