Theory and Applications of Kernel Space
published: July 11, 2007, recorded: July 2007, views: 2071
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- 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)
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