Variance inflation in high dimensional Support Vector Machines.
Trine Julie AbrahamsenLars Kai HansenPublished in: Pattern Recognit. Lett. (2013)
Keyphrases
- high dimensional
- support vector
- learning machines
- large margin classifiers
- kernel function
- logistic regression
- low dimensional
- cross validation
- classification accuracy
- support vector machine
- feature space
- dimensionality reduction
- support vector regression
- ls svm
- high dimensionality
- learning algorithm
- generalization ability
- input space
- similarity search
- decision function
- nearest neighbor
- sparse data
- variable selection
- high dimensional problems
- hyperplane
- feature selection
- decision trees
- multi class
- multi dimensional
- standard deviation
- kernel methods
- parallel machines
- low variance
- high dimensional spaces
- training examples
- maximum margin
- support vectors
- linear discriminant analysis
- radial basis function
- noisy data
- parameter space
- sparse coding
- metric space