Wrapper feature selection for small sample size data driven by complete error estimates.
Martin MacasLenka LhotskáEduard BaksteinDaniel NovákJirí WildTomás SiegerPavel VostatekRobert JechPublished in: Comput. Methods Programs Biomed. (2012)
Keyphrases
- data driven
- small sample size
- error estimates
- sample size
- wrapper feature selection
- provably correct
- error estimation
- linear discriminant analysis
- high dimensionality
- microarray data
- feature selection
- high dimensional
- cross validation
- high dimensional data
- face recognition
- sample space
- data sets
- dimensionality reduction
- error analysis
- artificial intelligence
- semi supervised
- feature vectors
- training set
- feature extraction
- image processing
- machine learning