Sparse Support Vector Machine with L p Penalty for Feature Selection.
Lan YaoFeng ZengDong-Hui LiZhigang ChenPublished in: J. Comput. Sci. Technol. (2017)
Keyphrases
- support vector machine
- feature selection
- high dimension
- sparse pca
- multi class
- small sample
- support vector
- norm regularization
- svm classifier
- support vector machine svm
- reduced set
- machine learning
- feature space
- text classification
- input features
- feature set
- kernel function
- feature selection algorithms
- k nearest neighbor
- feature ranking
- generalization ability
- support vectors
- knn
- feature subset
- recursive feature elimination
- kernel methods
- objective function
- high dimensionality
- irrelevant features
- high dimensional
- model selection
- mutual information
- dimensionality reduction
- text categorization
- web image annotation
- feature extraction
- canonical correlation analysis
- training set
- classification accuracy
- sparse data
- multiple kernel learning
- selected features
- decision boundary
- information gain
- hyperplane
- unsupervised learning
- sparse coding
- classification algorithm
- linear support vector machines
- classification method
- svm classification
- maximum margin
- sparse representation
- feature vectors
- training data
- genetic algorithm