Soft Margin Support Vector Classification as Buffered Probability Minimization.
Matthew NortonAlexander MafusalovStan UryasevPublished in: J. Mach. Learn. Res. (2017)
Keyphrases
- support vector classification
- soft margin
- support vector
- support vector machine
- support vector regression
- parameter selection
- generalization ability
- support vectors
- probability distribution
- boosting algorithms
- multi class
- objective function
- support vector machine svm
- solution path
- hyperplane
- kernel function
- binary classification
- svm classifier
- data sets
- feature selection
- linear program
- cross validation
- linear programming
- classification accuracy
- feature vectors
- feature space
- perceptron algorithm
- image segmentation
- learning algorithm