(κ)-linear complementarity problems over symmetric cones based on the eligible kernel functions.
Goran LesajaGuo-Qiang WangD. T. ZhuPublished in: Optim. Methods Softw. (2012)
Keyphrases
- kernel function
- linear complementarity problem
- sufficient conditions
- support vector
- variational inequalities
- feature space
- support vector machine
- kernel methods
- input space
- high dimensional
- interior point
- semidefinite
- support vectors
- kernel matrix
- svm classifier
- data sets
- multiple kernel learning
- hyperplane
- reproducing kernel hilbert space
- high dimensional data
- feature set
- classification accuracy