Interior-point algorithm for linear optimization based on a new trigonometric kernel function.
Xin LiMingwang ZhangPublished in: Oper. Res. Lett. (2015)
Keyphrases
- kernel function
- interior point algorithm
- optimal kernel
- interior point methods
- support vector
- kernel machines
- quadratic programming
- kernel methods
- support vector machine
- linear programming
- feature space
- kernel learning
- semidefinite
- polynomial kernels
- input space
- high dimensional
- svm classifier
- support vectors
- training data
- primal dual
- convex optimization
- basis functions
- hyperplane
- feature extraction
- convex hull
- reinforcement learning
- upper bound