Fisher-regularized Support Vector Machine with Pinball Loss Function.
Zhengqi ZhangLi ZhangZhao ZhangPublished in: IJCNN (2021)
Keyphrases
- loss function
- support vector machine
- risk minimization
- support vector
- loss minimization
- hinge loss
- solution path
- bregman divergences
- svm classifier
- multi class
- logistic regression
- learning to rank
- pairwise
- empirical risk
- support vector machine svm
- feature selection
- kernel methods
- boosting framework
- generalization ability
- kernel function
- machine learning
- binary classification
- reproducing kernel hilbert space
- regularization term
- boosting algorithms
- training data
- linear support vector machines
- line search
- convex loss functions
- cross validation
- maximum margin
- hyperplane
- supervised learning
- least squares
- feature space
- image classification
- ridge regression
- semi supervised
- feature vectors
- training set
- feature extraction
- learning algorithm