Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction.
Bin HongWeizhong ZhangWei LiuJieping YeDeng CaiXiaofei HeJie WangPublished in: J. Mach. Learn. Res. (2019)
Keyphrases
- support vector
- learning machines
- large margin classifiers
- reduced set
- classification accuracy
- logistic regression
- multiple features
- kernel function
- multi class
- generalization ability
- binary classification
- feature vectors
- reduction method
- computer vision
- training examples
- support vector machine
- loss function
- data sets
- radial basis function
- sparse coding
- feature extraction
- sparse data
- feature ranking
- feature selection