Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction.
Weizhong ZhangBin HongWei LiuJieping YeDeng CaiXiaofei HeJie WangPublished in: ICML (2017)
Keyphrases
- support vector
- learning machines
- large margin classifiers
- feature vectors
- support vector machine
- reduced set
- logistic regression
- loss function
- sparse representation
- sample points
- cross validation
- neural network
- kernel function
- least squares
- high dimensional
- generalization ability
- binary classification
- multiple features
- similarity measure
- reduction method
- small sample
- decision trees
- feature selection
- learning algorithm