Asymptotic normality of support vector machine variants and other regularized kernel methods.
Robert HablePublished in: J. Multivar. Anal. (2012)
Keyphrases
- kernel methods
- support vector machine
- kernel function
- support vector
- learning problems
- machine learning
- kernel matrix
- svm classifier
- kernel trick
- gaussian kernel
- feature space
- multi class
- kernel matrices
- feature vectors
- support vector machine svm
- reproducing kernel hilbert space
- training data
- decision boundary
- feature selection
- kernel ridge regression
- least squares
- training set
- hyperplane
- kernel pca
- graph kernels
- statistical learning theory
- knn
- maximum margin
- kernel fisher discriminant analysis
- generalization ability
- semi supervised