Adjusted support vector machines based on a new loss function.
Shuchun WangWei JiangKwok-Leung TsuiPublished in: Ann. Oper. Res. (2010)
Keyphrases
- loss function
- support vector
- learning machines
- large margin classifiers
- pairwise
- logistic regression
- learning to rank
- risk minimization
- support vector machine
- cross validation
- stochastic gradient descent
- empirical risk
- hyperplane
- regularization term
- reproducing kernel hilbert space
- convex loss functions
- hinge loss
- binary classification
- kernel function
- generalization ability
- boosting framework
- support vector regression
- svm classifier
- classification accuracy
- feature selection
- similarity measure