Kernel methods and Support Vector Machines
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Description
The tutorial will introduce the main ideas of statistical learning theory, support vector machines, and kernel feature spaces. This includes a derivation of the support vector optimization problem for classification and regression, the v-trick, various kernels and an overview over applications of kernel methods.
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Reviews and comments:
its very interesting to listen lectures, but if I could download the videos it would be easy to understand when offline.
Kindly suggest me how i can download the video lectures..
Thank you...
Smola is one of the clearest lecturers, writers, and thinkers.
The third video doesn't work.
I wish I could download it
lecture slides not available for L4: Support Vector classification
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