Interior-point methods for linear optimization based on a kernel function with a trigonometric barrier term.
Mohamed El GhamiZ. A. GuennounS. BoualiTrond SteihaugPublished in: J. Comput. Appl. Math. (2012)
Keyphrases
- kernel function
- interior point methods
- quadratic programming
- semidefinite
- support vector machine
- semidefinite programming
- kernel matrix
- kernel methods
- optimal kernel
- support vector
- linear programming
- convex optimization
- feature space
- linear program
- linear systems
- input space
- support vector regression
- primal dual
- kernel learning
- hyperplane
- high dimensional
- ls svm
- reproducing kernel hilbert space
- support vectors
- basis functions
- convex relaxation
- machine learning
- sufficient conditions
- data points
- similarity measure