SVM Ensembles Are Better When Different Kernel Types Are Combined.
Jörg StorkRicardo RamosPatrick KochWolfgang KonenPublished in: ECDA (2013)
Keyphrases
- support vector
- kernel function
- support vector machine svm
- kernel methods
- support vector machine
- kernel parameters
- svm classification
- kernel space
- imbalanced data
- svm classifier
- multi class
- learning machines
- decision trees
- kernel machines
- multiple kernel learning
- gaussian kernel
- loss function
- generalization ability
- ensemble methods
- rbf kernel
- feature space
- hyperplane
- classification and regression problems
- histogram intersection kernel
- multi class classification
- combining multiple
- binary classification
- ensemble learning
- machine learning
- knn
- feature vectors
- training data
- feature selection