10-601 Perceptrons and Voted Perceptrons
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Revision as of 15:51, 30 July 2013 by Wcohen (talk | contribs) (Created page with 'This a lecture used in the Syllabus for Machine Learning 10-601 === Slides === * [http://www.cs.cmu.edu/~wcohen/10-601/voted-perceptron.pptx Slides in Powerpoint]. ''Will …')
This a lecture used in the Syllabus for Machine Learning 10-601
Slides
- Slides in Powerpoint. Will be updated
Readings
- None
Assignment
- Implement voted perceptron and try it on some data.
What You Should Know Afterward
- The difference between an on-line and batch algorithm.
- How to implement the voted perceptron.
- The definition of a mistake bound, and a margin.