The admissibility theorem for the hyperplane transform over a finite field.
Eric L. GrinbergPublished in: J. Comb. Theory, Ser. A (1990)
Keyphrases
- hyperplane
- linearly separable
- support vector
- linear separability
- data points
- linear classifiers
- feature space
- training samples
- kernel function
- support vector machine
- input space
- principal components
- maximal margin
- incremental learning algorithm
- classification procedure
- locality sensitive
- computer vision
- kernel space
- learning algorithm
- convex hull
- support vectors
- decision boundary
- high dimensional feature space
- finite number
- svm classifier
- nearest neighbor
- small number
- training data
- machine learning
- linearly independent