A kernel-based centroid classifier using hypothesis margin.
Ximing LiJihong OuyangXiaotang ZhouPublished in: J. Exp. Theor. Artif. Intell. (2016)
Keyphrases
- support vector
- support vector machine
- decision boundary
- training set
- multiple kernel learning
- kernel methods
- decision trees
- multi category
- classifier systems
- svm classifier
- maximum margin
- soft margin
- classification process
- classifier ensemble
- feature set
- feature selection
- learning algorithm
- data sets
- training data
- classification scheme
- learning classifier systems
- adaboost algorithm
- standard svm
- margin maximization
- binary classification
- classification rate
- training process
- ensemble learning
- classification method
- classification algorithm
- class labels
- kernel function
- text classification
- feature space