A Note on the Universal Approximation Capability of Support Vector Machines.
Barbara HammerKai GersmannPublished in: Neural Process. Lett. (2003)
Keyphrases
- support vector
- learning machines
- large margin classifiers
- turing machine
- logistic regression
- classification accuracy
- kernel function
- support vector machine
- error bounds
- feature selection
- polynomial kernels
- generalization ability
- svm classifier
- multi class
- approximation algorithms
- hyperplane
- relative error
- training data
- flowshop
- np hard
- search algorithm
- maximum margin
- queueing networks
- approximation error
- face recognition
- data sets
- onset detection