On Lagrangian L2-norm pinball twin bounded support vector machine via unconstrained convex minimization.
Subhash Chandra PrasadS. BalasundaramPublished in: Inf. Sci. (2021)
Keyphrases
- convex minimization
- support vector machine
- lp norm
- global convergence
- svm classifier
- strictly convex
- multi class
- feature selection
- machine learning
- support vector
- multi class support vector machines
- stock market prediction
- soft margin
- kernel function
- feature vectors
- support vector machine svm
- kernel methods
- radial basis function
- training set
- maximum margin
- lagrangian relaxation
- optimal solution
- neural network
- prize collecting
- relaxation algorithm
- regularized least squares
- optimization methods
- classification method
- knn
- feature space
- training data