Combining multiple classifiers for wrapper feature selection.
Kyriacos ChrysostomouSherry Y. ChenXiaohui LiuPublished in: Int. J. Data Min. Model. Manag. (2008)
Keyphrases
- combining multiple
- multiple classifiers
- individual classifiers
- combining classifiers
- wrapper feature selection
- fusion methods
- feature selection
- classification accuracy
- naive bayes
- training data
- svm classifier
- cluster ensemble
- machine learning algorithms
- classifier combination
- training set
- pattern recognition
- support vector
- multiresolution
- classification models
- ensemble learning
- face recognition
- data sets