On the stability and bias-variance analysis of sparse SVMs.
V. Vijaya SaradhiHarish KarnickPublished in: Neurocomputing (2008)
Keyphrases
- bias variance analysis
- support vector
- sparse kernel
- bias variance
- machine learning
- sparse pca
- reduced set
- feature selection
- trade off
- high dimensional
- ensemble methods
- high dimension
- multi class
- support vector machine
- sparse representation
- kernel methods
- generalization ability
- maximum margin
- hyperplane
- knn
- training set
- learning algorithm
- real world
- logistic regression
- support vector machine svm
- image classification
- pattern recognition
- radial basis function
- statistical learning theory
- feature space
- data sets
- classification using support vector machines