Keyphrases
- feature selection
- hilbert schmidt independence criterion
- feature space
- support vector
- class separability
- pointwise mutual information
- feature set
- kernel learning
- kernel function
- feature selection algorithms
- multiple kernel learning
- mutual information
- text categorization
- feature extraction
- method for feature selection
- kernel methods
- objective function
- high dimensionality
- text classification
- multi class
- support vector machine
- feature selection and classification
- discriminative features
- unsupervised feature selection
- reproducing kernel hilbert space
- machine learning
- multi task
- classification models
- dimensionality reduction
- classification accuracy
- pairwise
- feature weighting
- feature subset
- microarray data
- kernel pca
- linear svm
- gene expression data
- linear discriminant analysis
- semi supervised learning