A new full-Newton step interior-point method for $$P_{*}(\kappa )$$-LCP based on a positive-asymptotic kernel function.
Mingwang ZhangKun HuangMengmeng LiYanli LvPublished in: J. Appl. Math. Comput. (2020)
Keyphrases
- interior point methods
- kernel function
- quadratic programming
- support vector machine
- semidefinite programming
- convex optimization
- kernel matrix
- kernel methods
- support vector
- linear programming
- feature space
- primal dual
- linear program
- input space
- computationally intensive
- svm classifier
- hyperplane
- semidefinite
- high dimensional
- multiple kernel learning
- kernel learning
- training set
- machine learning
- solving problems
- reproducing kernel hilbert space
- newton method
- ls svm
- support vectors
- maximum margin
- feature set