Fast Online Training of L1 Support Vector Machines
This thesis proposes a novel experimental environment (non-linear stochastic gradient descent, NL-SGD), as well as a novel online learning algorithm (OL SVM), for solving a classic nonlinear Soft Margin L1 Support Vector Machine (SVM) problem using a Stochastic Gradient Descent (SGD) algorithm. The...
| Main Author: | |
|---|---|
| Format: | Others |
| Published: |
VCU Scholars Compass
2016
|
| Subjects: | |
| Online Access: | http://scholarscompass.vcu.edu/etd/4282 http://scholarscompass.vcu.edu/cgi/viewcontent.cgi?article=5368&context=etd |