A full-Newton step infeasible interior-point algorithm based on a kernel function with a new barrier term.
Safa GuerdouhWided ChikoucheBehrouz KheirfamPublished in: J. Appl. Math. Comput. (2023)
Keyphrases
- kernel function
- interior point algorithm
- interior point methods
- primal dual
- support vector
- kernel methods
- support vector machine
- linear programming
- feature space
- input space
- kernel matrix
- high dimensional
- hyperplane
- linear program
- kernel learning
- convex optimization
- support vectors
- semidefinite programming
- reproducing kernel hilbert space
- svm classifier
- quadratic programming
- least squares
- multicriteria optimization
- data sets
- dynamic programming
- computationally intensive
- special case
- feature set
- feature extraction