Smooth Newton method for implicit Lagrangian twin support vector regression.
S. BalasundaramMuhammad TanveerPublished in: Int. J. Knowl. Based Intell. Eng. Syst. (2013)
Keyphrases
- support vector regression
- newton method
- regularized least squares
- convergence analysis
- linear equations
- support vector
- optimality conditions
- regression model
- support vector machine svm
- linear svm
- quadratic programming
- kernel function
- variational inequalities
- support vector machine
- global convergence
- nonnegative matrix factorization
- feature space
- fischer burmeister
- support vectors
- data sets
- convergence rate
- kernel methods
- data mining