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Theory and Applications of Kernel Space

Theory and Applications of Kernel Space

This video was recorded at PASCAL Bootcamp in Machine Learning, Vilanova 2007. Basics of kernel definitions and theory are first given.Then 3 algorithms are described with an explicit reference to the representer theorem: Support vector Mahcines, Support Vector Regression and Kernel Principal Components Analysis. The last course is devoted to examples of kernel design (Mahalanobis kernles and Fisher kernels)... Show More
Keywords:
videolectures, ocwc, oec
Disciplines:
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More about this material

Material Type:
Presentation
Date Added to MERLOT:
February 8, 2015
Date Modified in MERLOT:
February 8, 2015
Author:
Submitter:
The Open Education Consortium
Primary Audience:
College General Ed, College Lower Division, College Upper Division
Technical Format:
Video
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
No
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States

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