A full-NT-step infeasible interior-point algorithm for SDP based on kernel functions.
Zhongyi LiuWenyu SunPublished in: Appl. Math. Comput. (2011)
Keyphrases
- kernel function
- interior point algorithm
- kernel matrix
- semidefinite programming
- linear programming
- interior point methods
- support vector
- kernel methods
- kernel learning
- feature space
- support vector machine
- primal dual
- input space
- high dimensional
- support vectors
- svm classifier
- hyperplane
- linear program
- reproducing kernel hilbert space
- multicriteria optimization
- kernel trick
- multiple kernel learning
- feature selection
- kernel matrices
- computational complexity
- pairwise