Interior-Point Methods for Massive Support Vector Machines.
Michael C. FerrisTodd S. MunsonPublished in: SIAM J. Optim. (2002)
Keyphrases
- interior point methods
- support vector
- convex optimization
- linear program
- linear programming
- semidefinite programming
- interior point
- quadratic programming
- primal dual
- computationally intensive
- classification accuracy
- kernel function
- solving problems
- feature selection
- svm classifier
- cross validation
- support vector machine
- cutting plane method
- semidefinite
- maximum margin
- support vector regression
- reinforcement learning
- linear systems
- support vectors
- hyperplane
- training examples
- knn
- hyperparameters
- maximum likelihood
- quadratically constrained quadratic