On Performing Classification Using SVM with Radial Basis and Polynomial Kernel Functions.
Gend Lal PrajapatiArti PatlePublished in: ICETET (2010)
Keyphrases
- kernel function
- support vector
- support vector machine
- radial basis
- svm classifier
- svm classification
- support vector machine svm
- feature space
- polynomial kernels
- kernel methods
- support vectors
- high dimensional feature space
- kernel learning
- feature vectors
- kernel matrix
- radial basis function
- generalization ability
- feature set
- classification accuracy
- feature selection
- probabilistic neural network
- machine learning
- feature extraction
- tree kernels
- multiple kernel learning
- input space
- pattern recognition
- image classification
- training data
- reproducing kernel hilbert space
- training set
- hyperplane
- maximum margin
- data sets
- neural network
- multi task learning
- particle swarm optimization algorithm
- pattern classification
- decision trees
- loss function