SVM Soft Margin Classifiers: Linear Programming versus Quadratic Programming.
Qiang WuDing-Xuan ZhouPublished in: Neural Comput. (2005)
Keyphrases
- quadratic programming
- soft margin
- linear programming
- support vector machine
- support vector
- svm classifier
- generalization ability
- support vector machine svm
- linear svm
- training data
- ls svm
- decision boundary
- support vectors
- feature selection
- linear program
- linear classifiers
- svm classification
- boosting algorithms
- training set
- decision trees
- kernel function
- class conditional
- hyperplane
- cross validation
- objective function
- parameter selection
- binary classification
- np hard
- feature set
- training samples
- machine learning
- feature vectors
- radial basis function
- classification accuracy
- dynamic programming
- feature subset
- machine learning methods
- knn
- training examples
- naive bayes
- multi class