Diversity versus Quality in Classification Ensembles Based on Feature Selection.
Padraig CunninghamJohn CarneyPublished in: ECML (2000)
Keyphrases
- feature selection
- classification accuracy
- text classification
- support vector
- decision trees
- classification models
- feature extraction
- machine learning
- feature space
- feature set
- feature selection algorithms
- feature ranking
- classifier ensemble
- support vector machine
- bayes classifier
- text categorization
- ensemble feature selection
- classification rate
- high quality
- pattern recognition
- discriminative features
- feature subset selection
- unsupervised learning
- image classification
- accurate classification
- class separability
- diversity measures
- ensemble classifier
- multiple classifier systems
- method for feature selection
- feature subset
- classification method
- model selection
- selected features
- feature reduction
- irrelevant features
- mutual information
- imbalanced data
- data pre processing
- feature vectors
- small sample
- classification algorithm
- instance selection
- fold cross validation
- high dimensionality
- ensemble learning
- selecting relevant features
- feature weighting
- informative features
- microarray datasets
- supervised learning
- class imbalance
- naive bayes
- dimensionality reduction