Keyphrases
- hyperplane
- linear classifiers
- training samples
- decision boundary
- feature space
- support vector
- support vector machine
- svm classifier
- binary classifiers
- separating hyperplane
- data points
- classification procedure
- minimum error
- input space
- training data
- convex hull
- incremental learning algorithm
- kernel function
- maximal margin
- principal components
- training set
- linearly separable
- linear svm
- linear separability
- learning algorithm
- support vector machine svm
- class labels
- support vectors
- classification accuracy
- feature vectors
- training examples
- weight vector
- model selection
- normal vectors
- input data
- feature set
- multi class
- principal direction
- pattern recognition
- feature selection