TrIK-SVM : an alternative decomposition for kernel methods in Kreı̆n spaces.
Gaëlle LoosliPublished in: ESANN (2019)
Keyphrases
- kernel methods
- support vector
- kernel function
- support vector machine
- learning problems
- kernel parameters
- feature space
- machine learning
- gaussian kernel
- kernel matrix
- svm training
- standard svm
- kernel ridge regression
- support vector machine svm
- multiple kernel learning
- kernel pca
- multiple kernel
- support vectors
- kernel principal component analysis
- reproducing kernel hilbert space
- svm classification
- loss function
- high dimensional feature space
- binary classification
- hyperplane
- graph kernels
- kernel fisher discriminant analysis
- hilbert space
- learning tasks
- data sets
- svm classifier