A Block Coordinate DCA Approach for Large-Scale Kernel SVM.
Van Tuan PhamHoang Phuc Hau LuuHoai An Le ThiPublished in: ICCCI (2022)
Keyphrases
- support vector
- kernel function
- kernel methods
- support vector machine svm
- feature space
- kernel parameters
- kernel space
- rbf kernel
- support vector machine
- kernel machines
- svm classification
- gaussian kernel
- knn
- small scale
- feature vectors
- multiple kernel
- support vectors
- multiple kernel learning
- svm classifier
- polynomial kernels
- linear svm
- kernel learning
- data sets
- input space
- logistic regression
- feature selection
- real world
- least squares support vector machine
- binary classification
- reproducing kernel hilbert space
- maximum margin
- gaussian processes
- generalization ability
- hyperplane
- machine learning
- kernel pca
- feature maps
- kernel matrix
- multi class classification
- classification algorithm
- training data
- kernel ridge regression
- histogram intersection kernel