A New Smooth Support Vector Regression Based on epsilon-Insensitive Logistic Loss Function.
Hui-Zhong YangXin-Guang ShaoFeng DingPublished in: ICNC (1) (2005)
Keyphrases
- loss function
- support vector
- logistic regression
- pairwise
- learning to rank
- risk minimization
- cross validation
- empirical risk
- boosting framework
- hinge loss
- reproducing kernel hilbert space
- multi class classification
- svm classifier
- regularization term
- hyperparameters
- convex loss functions
- binary classification
- kernel function
- support vector machine
- sample complexity
- training examples
- classification accuracy
- ls svm
- support vector regression
- stochastic gradient descent
- naive bayes
- feature space
- training data