Significance testing for variable selection in high-dimension.
Jean-Michel BécuChristophe AmbroiseYves GrandvaletCyril DalmassoPublished in: CIBCB (2015)
Keyphrases
- variable selection
- high dimension
- high dimensional
- high dimensional data
- feature selection
- input variables
- dimension reduction
- low dimensional
- real valued
- feature space
- cross validation
- small sample
- input space
- ls svm
- nearest neighbor
- high dimensionality
- model selection
- data sets
- dimensionality reduction
- kernel function
- neural network
- fuzzy logic
- data points
- support vector
- learning algorithm