Keyphrases
- kernel methods
- feature selection
- support vector
- feature space
- support vector machine
- machine learning
- kernel function
- kernel learning
- learning problems
- kernel matrix
- classification accuracy
- multiple kernel learning
- multi class
- feature set
- text categorization
- learning tasks
- knn
- multi task
- reproducing kernel hilbert space
- graph kernels
- kernel pca
- kernel matrices
- feature selection algorithms
- feature extraction
- dimensionality reduction
- feature subset
- kernel trick
- special case
- kernel fisher discriminant analysis
- kernel ridge regression
- high dimensional feature space
- image processing
- model selection
- data dependent
- principal components
- linear discriminant analysis
- text classification