Enhancing Sparsity of Support Vector Machines by Ridge Regression.
Xiao-Lei XiaMingxing OuyangPublished in: IJCNN (2022)
Keyphrases
- ridge regression
- support vector
- ls svm
- support vector machine
- linear regression
- pseudo inverse
- ordinary least squares
- regression methods
- kernel function
- high dimensional
- least squares
- classification accuracy
- svm classifier
- regression model
- variable selection
- support vector regression
- radial basis function
- logistic regression
- machine learning
- generalization ability
- loss function
- binary classification
- regression method
- cross validation
- training examples
- multi class
- support vector machine svm
- version space
- kernel regression
- feature vectors
- artificial neural networks
- feature selection