Near bent functions on a hyperplane.
J. F. DillonGary McGuirePublished in: Finite Fields Their Appl. (2008)
Keyphrases
- hyperplane
- support vector
- feature space
- data points
- training samples
- linear classifiers
- incremental learning algorithm
- linearly separable
- principal components
- input space
- support vector machine
- maximal margin
- decision boundary
- convex hull
- classification procedure
- kernel function
- kernel space
- locality sensitive
- support vectors
- feature vectors
- machine learning
- radial basis function
- normal vectors
- feature selection