10-601 SVMs and Margin Classifiers 2

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This 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