The single-index support vector regression model to address the problem of high dimensionality.
Waleed DhhanSohel RanaTaha AlshaybaweeHabshah MidiPublished in: Commun. Stat. Simul. Comput. (2018)
Keyphrases
- regression model
- high dimensionality
- feature selection
- support vector
- high dimensional
- support vector regression
- high dimensional data
- feature space
- dimensionality reduction
- model selection
- regression methods
- feature selection and classification
- microarray
- dimension reduction
- feature ranking
- explanatory variables
- gaussian process
- cross validation
- regression analysis
- gene expression data
- prediction model
- small sample size
- data dimensionality
- interval valued data
- generalized linear models
- class imbalance
- logistic regression
- regression method
- multivariate regression
- linear regression model
- database
- high dimensional spaces
- kernel regression
- low dimensionality
- support vector machine
- data sets
- learning algorithm
- data points
- semi parametric
- nearest neighbor
- linear discriminant analysis