Stochastic gradient descent for large-scale linear nonparallel SVM.
Jingjing TangYingjie TianGuoqiang WuDewei LiPublished in: WI (2017)
Keyphrases
- stochastic gradient descent
- loss function
- weight vector
- least squares
- matrix factorization
- step size
- linear svm
- support vector machine
- random forests
- svm training
- support vector
- multiple kernel learning
- support vector machine svm
- online algorithms
- linear model
- importance sampling
- knn
- cost function
- logistic regression
- linear models
- hyperplane
- svm classifier
- semi supervised learning