AD-SVMs: A light extension of SVMs for multicategory classification.
Ricardo ÑanculefCarlos ConchaHéctor AllendeDiego CandelClaudio MoragaPublished in: Int. J. Hybrid Intell. Syst. (2009)
Keyphrases
- support vector
- decision boundary
- support vector machine svm
- support vector machine
- svm classifier
- generalization ability
- feature selection
- multi class svms
- training support vector machines
- multi class
- neural networks and support vector machines
- training set
- feature space
- classification algorithm
- support vector machine classifiers
- kernel function
- multiclass classification
- pattern classification
- majority voting
- multi class classification
- feature vectors
- margin maximization
- cross validation
- rule based classifier
- classification method
- structured learning
- classification using support vector machines
- classification accuracy
- soft margin
- maximum margin
- binary classification
- binary classifiers
- linear svm
- decision functions
- machine learning
- support vectors
- sequential minimal optimization
- hyperplane
- kernel methods
- sparse kernel
- image classification
- gene selection
- text classifiers
- cost sensitive
- binary classification problems
- svm classification
- pattern recognition
- svm training
- learning algorithm
- kernel principal component analysis
- naive bayes classifier
- feature extraction
- training samples
- text classification
- data points
- accurate classifiers
- decision trees
- logistic regression
- feature set
- high dimensional