Interior-point methods based on kernel functions for symmetric optimization.
Manuel V. C. VieiraPublished in: Optim. Methods Softw. (2012)
Keyphrases
- kernel function
- interior point methods
- quadratic programming
- representer theorem
- support vector
- convex optimization
- kernel methods
- semidefinite
- semidefinite programming
- kernel matrix
- feature space
- support vector machine
- input space
- primal dual
- optimal kernel
- kernel learning
- support vector regression
- linear program
- high dimensional
- linear programming
- solving problems
- pairwise
- kernel matrices
- convex relaxation
- reproducing kernel hilbert space
- svm classifier
- support vectors
- hyperplane
- multi task learning