Nonlinear Kernel Support Vector Machine with 0-1 Soft Margin Loss.
Ju LiuLing-Wei HuangYuan-Hai ShaoWei-Jie ChenChun-Na LiPublished in: CoRR (2022)
Keyphrases
- soft margin
- support vector machine
- nonlinear kernel
- svm classification
- binary classification
- support vector
- generalization ability
- parameter selection
- support vector machine svm
- machine learning
- multi class
- feature space
- svm classifier
- canonical correlation analysis
- knn
- feature vectors
- feature selection
- training data
- support vectors
- hyperplane
- classification method
- kernel function
- k nearest neighbor
- kernel methods
- generalization error
- boosting algorithms
- high dimensional
- text categorization
- decision boundary
- lower bound
- model selection
- nearest neighbor
- upper bound