Lecture 15 – Kernel Methods

Kernel Methods – Extending SVM to infinite-dimensional spaces using the kernel trick, and to non-separable data using soft margins. Lecture 15 of 18 of Caltech’s Machine Learning Course – CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App – itunesu.itunes.apple.com and on the course website – work.caltech.edu Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, creativecommons.org This lecture was recorded on May 22, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.


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