A Study of SVM Kernel Functions for Sensitivity Classification Ensembles with POS Sequences.
Graham McDonaldNicolás García-PedrajasCraig MacdonaldIadh OunisPublished in: SIGIR (2017)
Keyphrases
- kernel function
- support vector
- support vector machine
- svm classifier
- svm classification
- support vector machine svm
- feature space
- kernel methods
- classification algorithm
- classification accuracy
- support vectors
- feature set
- multiple kernel learning
- decision trees
- feature selection
- hyperplane
- feature vectors
- classification method
- kernel learning
- machine learning
- polynomial kernels
- input space
- kernel parameters
- high dimensional feature space
- multi class
- kernel matrix
- feature extraction
- training set
- tree kernels
- image processing
- training process
- generalization ability
- image classification
- reproducing kernel hilbert space
- machine learning algorithms
- kernel machines
- decision boundary
- rbf kernel
- training samples
- support vector data description