Input Variable Selection in Kernel Fisher Discriminant Analysis.
Nelmarie LouwSarel SteelPublished in: GfKl (2005)
Keyphrases
- variable selection
- input variables
- kernel fisher discriminant analysis
- cross validation
- high dimensional
- model selection
- discriminant analysis
- kernel methods
- dimension reduction
- input data
- high dimensional data
- pattern recognition
- ls svm
- feature selection
- training set
- least squares
- data sets
- learning problems
- support vector
- kernel principal component analysis