Machine Learning - Kernel Methods

Klipi teostus: Mirjam Paales, Ethel Kirsimäe 14.05.2013 3707 vaatamist Arvutiteadus


Given by Konstantin Tretyakov

Brief summary: Feature space mapping, the kernel trick, dual representation, kernelization.

Slides: (pdf)

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