Feature Selection for Bagging of Support Vector Machines.
Guo-Zheng LiTian-Yu LiuPublished in: PRICAI (2006)
Keyphrases
- support vector
- learning machines
- feature selection
- ensemble learning
- classification accuracy
- large margin classifiers
- support vector machine
- generalization ability
- model selection
- kernel function
- imbalanced data
- svm classifier
- cross validation
- logistic regression
- machine learning
- binary classification
- loss function
- support vector classification
- feature extraction
- kernel methods
- multi class
- decision trees
- text categorization
- ensemble classification
- training examples
- data sets
- soft margin
- meta learning
- random forests
- generalization error
- ensemble methods
- linear discriminant analysis
- naive bayes
- feature ranking
- mutual information
- maximum margin
- feature space
- hyperplane
- training set
- text classification
- radial basis function
- feature subset
- support vector regression
- information gain
- support vector machine svm
- support vectors
- feature set
- kernel machines
- ensemble classifier
- feature selection algorithms
- knn
- base classifiers