Optimal feasible step-size based working set selection for large scale SVMs training.
Shili PengQinghua HuJianwu DangWenwu WangPublished in: Neurocomputing (2020)
Keyphrases
- working set selection
- training support vector machines
- step size
- working set
- stochastic gradient descent
- decomposition methods
- convergence rate
- decomposition algorithm
- convergence speed
- gradient method
- cost function
- support vector machine
- number of iterations required
- training set
- least squares
- support vector
- linear svm
- training process
- image classification
- artificial neural networks