Feature Selection with the logRatio Kernel.
Julien PradosAlexandros KalousisMelanie HilarioPublished in: SDM (2008)
Keyphrases
- feature selection
- class separability
- feature space
- support vector
- kernel learning
- text categorization
- kernel methods
- kernel function
- feature set
- machine learning
- information gain
- mutual information
- text classification
- multi class
- feature selection algorithms
- multiple kernel learning
- feature selection and classification
- classification accuracy
- feature extraction
- supervised learning tasks
- irrelevant features
- kernel machines
- feature weighting
- similarity function
- gene expression data
- high dimensionality
- knn
- mutual subspace method
- method for feature selection
- neural network
- forward selection
- hilbert schmidt independence criterion
- unsupervised feature selection
- kernel regression
- discriminative features
- ensemble learning
- feature subset
- genetic algorithm