A full-Newton step infeasible interior-point algorithm for monotone LCP based on a locally-kernel function.
Lipu ZhangYanqin BaiYinghong XuPublished in: Numer. Algorithms (2012)
Keyphrases
- kernel function
- interior point algorithm
- interior point methods
- quadratic programming
- primal dual
- support vector
- kernel methods
- feature space
- linear programming
- support vector machine
- input space
- convex optimization
- high dimensional
- kernel learning
- hyperplane
- support vectors
- svm classifier
- kernel matrix
- semidefinite programming
- linear program
- least squares
- reproducing kernel hilbert space
- multiple kernel learning
- feature set
- upper bound
- computational complexity
- multicriteria optimization
- data sets