A kernel-ensemble bagging support vector machine.
Ren YePonnuthurai N. SuganthanPublished in: ISDA (2012)
Keyphrases
- support vector machine
- ensemble methods
- imbalanced data
- ensemble classifier
- kernel function
- majority voting
- ensemble learning
- kernel methods
- support vector
- base classifiers
- generalization ability
- ensemble classification
- ensemble members
- multi class
- training set
- random forest
- feature space
- ensemble selection
- random forests
- svm classifier
- decision stumps
- svm classification
- base learners
- classifier ensemble
- decision trees
- prediction accuracy
- decision forest
- weighted voting
- binary classification
- machine learning methods
- feature selection
- feature vectors
- support vector machine svm
- training data
- decision boundary
- kernel pca
- machine learning
- multiple kernel learning
- kernel machines
- individual classifiers
- knn
- learning machines
- soft margin
- class label noise
- randomized trees
- support vectors
- benchmark datasets
- regression problems
- histogram intersection kernel
- decision tree ensembles
- neural network
- loss function
- kernel principal component analysis
- classification algorithm
- radial basis function
- hyperplane
- meta learning
- decision tree classifiers
- generalization error
- feature set
- learning algorithm
- model averaging
- weak classifiers
- tree ensembles
- input space
- concept drift