The Accuracy of Interior-Point Methods Based on Kernel Functions.
Manuel V. C. VieiraPublished in: J. Optim. Theory Appl. (2012)
Keyphrases
- kernel function
- interior point methods
- support vector
- kernel methods
- feature space
- semidefinite programming
- classification accuracy
- support vector machine
- convex optimization
- kernel learning
- input space
- linear program
- reproducing kernel hilbert space
- kernel matrix
- support vector regression
- kernel matrices
- hyperplane
- linear programming
- machine learning
- generalization ability
- variable selection
- support vectors
- special case
- high dimensional
- lower bound
- face recognition