Using an iterative linear solver in an interior-point method for generating support vector machines.
E. Michael GertzJoshua D. GriffinPublished in: Comput. Optim. Appl. (2010)
Keyphrases
- upper bound
- interior point methods
- support vector
- quadratic programming
- convex optimization
- semidefinite
- large margin classifiers
- linear systems
- linear program
- cutting plane method
- coefficient matrix
- kernel function
- linear programming
- semidefinite programming
- kernel methods
- interior point algorithm
- inequality constraints
- computationally intensive
- primal dual
- svm classifier
- special case
- support vector machine
- least squares
- generalization ability
- solving problems
- dynamic programming
- hyperplane
- machine learning