Normalized neighborhood component feature selection and feasible-improved weight allocation for input variable selection.
Hansu KimTae Hee LeeTaejoon KwonPublished in: Knowl. Based Syst. (2021)
Keyphrases
- variable selection
- input variables
- feature selection
- model selection
- cross validation
- dimension reduction
- stepwise regression
- high dimensional
- markov blanket
- linear models
- leave one out cross validation
- selection criterion
- machine learning
- feature space
- text categorization
- support vector
- feature selection algorithms
- preprocessing
- group lasso
- ls svm
- computer vision
- feature extraction
- high dimensional data
- text classification
- dimensionality reduction
- classification accuracy
- feature subset
- selected features
- input data
- low dimensional
- similarity measure
- gene expression data
- high dimensionality
- pattern recognition
- microarray classification
- sparsity inducing