Convergence rate of SVM for kernel-based robust regression.
Shuhua WangZhenlong ChenBaohuai ShengPublished in: Int. J. Wavelets Multiresolution Inf. Process. (2019)
Keyphrases
- convergence rate
- robust regression
- support vector
- support vector machine
- kernel methods
- support vector machine svm
- linear regression
- step size
- svm classifier
- multiple kernel learning
- density estimation
- regression methods
- multi class
- multiple models
- kernel function
- image derivatives
- primal dual
- feature selection
- feature vectors
- machine learning
- knn
- number of iterations required
- regression model
- support vectors
- maximum margin
- relevance vector machine
- loss function
- generalization ability
- least squares
- kernel regression
- outlier detection
- model selection
- feature space
- objective function