-norm least squares support vector machine with feature selection.
Yuan-Hai ShaoChun-Na LiMing-Zeng LiuZhen WangNai-Yang DengPublished in: Pattern Recognit. (2018)
Keyphrases
- least squares support vector machine
- feature selection
- ls svm
- small sample
- support vector machine
- high dimension
- variable selection
- support vector
- least squares
- multi task
- feature set
- cross validation
- feature space
- generalization ability
- dimension reduction
- feature selection algorithms
- model selection
- high dimensional
- feature subset
- data fusion
- input variables
- receiver operating characteristic
- dimensionality reduction
- statistical learning theory
- feature extraction