Feature selection for least squares projection twin support vector machine.
Jianhui GuoPing YiRuili WangQiaolin YeChunxia ZhaoPublished in: Neurocomputing (2014)
Keyphrases
- least squares
- support vector machine
- feature selection
- support vector
- multi class
- svm classifier
- small sample
- machine learning
- support vector machine svm
- feature selection algorithms
- mutual information
- k nearest neighbor
- ls svm
- robust estimation
- feature space
- text categorization
- knn
- text classification
- recursive feature elimination
- feature ranking
- feature set
- information gain
- automated text categorization
- parameter optimization
- classification performances
- parameter estimation
- feature extraction
- feature vectors
- kernel function
- sparse linear
- high dimensional
- optical flow
- input features
- decision boundary
- classification accuracy
- microarray data
- gene selection
- image registration
- nearest neighbor
- dimensionality reduction
- classification models
- radial basis function
- high dimensionality
- unsupervised feature selection
- training set
- kernel methods
- model selection
- method for feature selection
- computer vision