Kernel Methods
Given by Sven Laur
Brief summary: Feature space mapping, the kernel trick, dual representation, kernelization.
Slides: (pdf)
Video: UTTV(2016) UTTV(2015)
Literature:
- Cristianini and Shawe-Taylor: An Introduction to Support Vector Machines, pages 112 - 123
- Schölkopf and Smola: Learning with Kernels, pages 227-247
- David MacKay: Information Theory, Inference, and Learning Algorithms, pages 535 - 549
- Shawe-Taylor and Cristianini: Kernel Methods for Pattern Analysis