Speeding Up Budgeted Stochastic Gradient Descent SVM Training with Precomputed Golden Section Search.
Tobias GlasmachersSahar QaadanPublished in: LOD (2018)
Keyphrases
- stochastic gradient descent
- svm training
- online algorithms
- least squares
- loss function
- step size
- matrix factorization
- generalization ability
- random forests
- support vector machine
- svm classification
- online learning
- kernel methods
- convergence rate
- support vectors
- multiple kernel learning
- active learning
- weight vector
- regularization parameter
- objective function
- decision boundary
- support vector machine svm
- multi class
- learning algorithm
- benchmark datasets