Feature Selection Using Sparse Twin Bounded Support Vector Machine.
Xiaohan ZhengLi ZhangLeilei YanPublished in: ICONIP (2) (2020)
Keyphrases
- support vector machine
- feature selection
- high dimension
- multi class
- sparse pca
- small sample
- support vector
- machine learning
- svm classifier
- support vector machine svm
- high dimensional
- feature space
- reduced set
- feature selection algorithms
- text categorization
- k nearest neighbor
- generalization ability
- text classification
- svm classification
- mutual information
- feature set
- input features
- kernel methods
- compressive sensing
- knn
- feature reduction
- multi task
- feature ranking
- selected features
- sparse representation
- classification performances
- recursive feature elimination
- classification accuracy
- web image annotation
- sparse data
- automated text categorization
- radial basis function
- support vector regression
- decision boundary
- feature extraction
- nearest neighbor
- feature subset
- kernel function
- high dimensionality
- classification method
- classification algorithm
- data mining
- dimensionality reduction
- linear support vector machines
- irrelevant features
- neural network
- hyperplane
- classification models
- information gain
- discriminative features