Support Vector Machine Soft Margin Classifiers: Error Analysis.
Di-Rong ChenQiang WuYiming YingDing-Xuan ZhouPublished in: J. Mach. Learn. Res. (2004)
Keyphrases
- soft margin
- error analysis
- support vector
- support vector machine
- svm classifier
- boosting algorithms
- linear classifiers
- large margin classifiers
- class conditional
- parameter selection
- decision boundary
- training data
- generalization ability
- multi class
- training set
- least squares
- loss function
- feature selection
- classification algorithm
- support vector machine svm
- error correction
- support vectors
- classification method
- generalization error
- machine learning
- naive bayes classifier
- hyperplane
- training examples
- kernel function
- binary classifiers
- training samples
- classification accuracy
- svm classification
- feature space
- linearly separable
- decision trees
- kernel methods
- weak classifiers
- cost sensitive
- maximum entropy
- upper bound
- feature set
- multiclass classification
- naive bayes
- class labels