Kernel Feature Selection to Improve Generalization Performance of Boosting Classifiers.
Kenji NishidaTakio KuritaPublished in: IPCV (2006)
Keyphrases
- feature selection
- support vector
- decision stumps
- feature space
- ensemble learning
- ensemble classifier
- feature set
- class separability
- machine learning
- text categorization
- feature selection algorithms
- classification models
- naive bayes
- ensemble classification
- feature extraction
- classification accuracy
- linear classifiers
- text classification
- select relevant features
- decision trees
- kernel machines
- weak classifiers
- learning machines
- bayes classifier
- model selection
- weak learners
- small sample
- feature ranking
- training set
- feature subset
- training data
- multiple kernel learning
- knn
- linear svm
- generalization bounds
- machine learning algorithms
- multi class
- dimensionality reduction