A Stochastic Optimization Approach for Parameter Tuning of Support Vector Machines.
F. ImbaultK. LebartPublished in: ICPR (4) (2004)
Keyphrases
- parameter tuning
- stochastic optimization
- support vector
- learning machines
- large margin classifiers
- multistage
- ink bleed
- parameter settings
- robust optimization
- kernel function
- feature selection
- kernel methods
- cross validation
- model selection
- support vector machine
- hyperplane
- multiple kernel learning
- maximum margin
- training examples
- learning algorithm
- support vectors
- svm classifier