Advanced support vector machines and kernel methods.
V. David Sánchez A.Published in: Neurocomputing (2003)
Keyphrases
- kernel methods
- support vector
- learning machines
- kernel function
- learning problems
- learning tasks
- support vector machine
- feature space
- machine learning
- kernel matrix
- reproducing kernel hilbert space
- generalization ability
- cross validation
- kernel matrices
- binary classification
- loss function
- kernel parameters
- classification accuracy
- multiple kernel learning
- kernel learning
- graph kernels
- svm classifier
- multiple kernel
- kernel pca
- kernel ridge regression
- hyperplane
- maximum margin
- support vector regression
- input space
- radial basis function
- clustering algorithm
- image processing