Keyphrases
- hyperplane
- support vector machine
- support vector
- svm classifier
- decision boundary
- linear classifiers
- feature space
- maximum margin
- separating hyperplane
- support vector machine svm
- data points
- support vectors
- kernel function
- multi class
- input space
- training samples
- maximal margin
- kernel space
- incremental learning algorithm
- locality sensitive
- machine learning
- radial basis function
- feature selection
- convex hull
- principal components
- classification procedure
- linearly separable
- perceptron algorithm
- weight vector
- generalization ability
- kernel methods
- high dimensional feature space
- training set
- training data
- decision trees
- neural network
- linear separability
- feature vectors
- active learning
- low dimensional
- k nearest neighbor
- soft margin