10-601 SVMs and Margin Classifiers 2
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Jump to navigationJump to searchThis a lecture used in the Syllabus for Machine Learning 10-601 in Fall 2014
Slides
Readings
What You Should Know Afterward
- Dual formulation of SVMs
- Meaning of variables in the dual solution
- Non linearly separable dual
- Dependence of variables on the number of features
- Feature transformation and the kernel trick
