Separability and Scatteredness (S&S) Ratio-Based Efficient SVM Regularization Parameter, Kernel, and Kernel Parameter Selection.
Mahdi ShamsiSoosan BeheshtiPublished in: CoRR (2023)
Keyphrases
- parameter selection
- adaptive regularization
- kernel ridge regression
- kernel function
- regularization parameter
- support vector
- kernel methods
- cross validation
- hyperparameters
- feature space
- image restoration
- support vector machine svm
- model selection
- kernel matrix
- svm classifier
- support vector machine
- training set
- total variation
- radial basis function
- learning algorithm
- ls svm
- image segmentation
- computer vision