given by Li He
Time7:30 pm Sep 22, 2008
About 1h
Outline
- Several Results from Learning Theory
- Design a Simple SVM and its Kernelized Version
- Design an SVM in Nonseparable Case
- A General Formulation of SVM
Aims
This short introduction acts as a reminder of the audiences for later topics on S3VM, because there has been some time since Prof. Junping Zhang gave us the talk on SVM.
Related materials
Two Books, Introduction to Support Vector Machines and Other Kernel-based Learning Methods, Learning with Kernels: Support Vector Machines, Regularization, Optimization and Beyond; slides (only part of it is covered in the seminar).
