Feature selection in a kernel space.
Bin CaoDou ShenJian-Tao SunQiang YangZheng ChenPublished in: ICML (2007)
Keyphrases
- kernel space
- feature selection
- feature space
- selected features
- informative features
- hyperplane
- principal components
- feature set
- maximum margin
- text categorization
- classification accuracy
- text classification
- feature extraction
- feature selection algorithms
- information gain
- cross validation
- multi class
- support vector machine
- machine learning
- training samples
- high dimensional
- multi task
- support vector
- gene expression data
- feature subset
- active learning
- image processing
- alternative methods
- pattern recognition
- training set
- microarray data
- svm classifier
- principal component analysis