Stochastic Subgradient for Large-Scale Support Vector Machine Using the Generalized Pinball Loss Function.
Wanida PanupRabian WangkeereePublished in: Symmetry (2021)
Keyphrases
- loss function
- support vector machine
- support vector
- stochastic optimization
- pairwise
- bayes rule
- logistic regression
- learning to rank
- empirical risk
- multi class
- risk minimization
- training data
- svm classifier
- kernel function
- convex loss functions
- reproducing kernel hilbert space
- kernel methods
- boosting framework
- hinge loss
- feature vectors
- regularization term
- pairwise constraints
- support vector regression
- stochastic gradient descent
- machine learning
- convex optimization
- feature space
- optimization methods
- objective function
- support vector machine svm