Radius Margin Bounds for Support Vector Machines with the RBF Kernel.
Kai-Min ChungWei-Chun KaoChia-Liang SunLi-Lun WangChih-Jen LinPublished in: Neural Comput. (2003)
Keyphrases
- rbf kernel
- support vector
- radial basis function
- kernel function
- support vector machine
- upper bound
- learning machines
- lower bound
- cross validation
- positive definite
- feature space
- svm classifier
- support vector machine svm
- feature selection
- neural network
- classification accuracy
- kernel methods
- training set
- reproducing kernel hilbert space
- loss function
- worst case
- hyperplane
- learning algorithm
- machine learning