On the Zone Theorem for Hyperplane Arrangements.
Herbert EdelsbrunnerRaimund SeidelMicha SharirPublished in: SIAM J. Comput. (1993)
Keyphrases
- hyperplane
- support vector
- training samples
- feature space
- input space
- maximal margin
- principal components
- linear classifiers
- support vector machine
- kernel function
- decision boundary
- data points
- convex hull
- locality sensitive
- kernel space
- weight vector
- incremental learning algorithm
- svm classifier
- principal direction
- pattern recognition
- linearly separable
- reinforcement learning
- decision trees
- linear separability
- linearly independent
- neural network
- classification procedure
- real valued
- support vector machine svm
- active learning
- feature selection
- machine learning
- data mining