Random hyperplane projection using derived dimensions.
Konstantinos GeorgoulasYannis KotidisPublished in: MobiDE (2010)
Keyphrases
- hyperplane
- sample space
- support vector
- data points
- input space
- incremental learning algorithm
- support vector machine
- training samples
- linear classifiers
- maximal margin
- feature space
- svm classifier
- convex hull
- principal components
- linearly independent
- linearly separable
- normal vectors
- support vectors
- training set
- kernel function
- classification procedure
- neural network
- principal direction
- training data