Kernel methods for heterogeneous feature selection.
Jérôme PaulRoberto D'AmbrosioPierre DupontPublished in: Neurocomputing (2015)
Keyphrases
- kernel methods
- feature selection
- support vector
- feature space
- support vector machine
- machine learning
- learning problems
- kernel function
- kernel learning
- text categorization
- kernel matrix
- text classification
- learning tasks
- feature set
- multi class
- reproducing kernel hilbert space
- kernel trick
- high dimensional feature space
- graph kernels
- multi task
- kernel pca
- multiple kernel learning
- kernel matrices
- feature extraction
- feature selection algorithms
- low dimensional
- pairwise
- active learning
- classification accuracy
- support vector machine svm
- multiple kernel