Feature Selection Using Sparse Twin Support Vector Machine with Correntropy-Induced Loss.
Xiaohan ZhengLi ZhangLeilei YanPublished in: KSEM (1) (2020)
Keyphrases
- feature selection
- support vector machine
- high dimension
- sparse pca
- multi class
- quadratic optimization
- support vector
- small sample
- svm classifier
- reduced set
- feature space
- sparse representation
- support vector machine svm
- machine learning
- sparse data
- classification accuracy
- feature selection algorithms
- feature set
- text classification
- k nearest neighbor
- text categorization
- dimensionality reduction
- knn
- selected features
- radial basis function
- irrelevant features
- feature extraction
- classification algorithm
- kernel methods
- svm classification
- high dimensional
- feature ranking
- generalization ability
- mutual information
- compressive sensing
- decision trees
- training set
- feature selection and classification
- web image annotation
- support vectors
- information gain
- feature subset
- high dimensionality
- kernel function
- naive bayes
- unsupervised learning
- model selection
- feature vectors
- ensemble classifier
- classification models
- data sets
- image classification