Joint sample and feature selection via sparse primal and dual LSSVM.
Yuan-Hai ShaoChun-Na LiLing-Wei HuangZhen WangNai-Yang DengYan XuPublished in: Knowl. Based Syst. (2019)
Keyphrases
- ls svm
- small sample
- least squares support vector machine
- least squares
- feature selection
- support vector
- high dimension
- primal dual
- support vector machine
- variable selection
- high dimensional
- cross validation
- hyperparameters
- structural svm
- linear program
- linear programming
- generalization ability
- improved algorithm
- input variables
- svm classifier
- rbf neural network
- feature set
- correlation coefficient
- prediction model
- parameter estimation
- model selection
- data sets
- optical flow
- data points
- convex optimization
- radial basis function
- high dimensionality