Difference between revisions of "Class meeting for 10-605 Parallel Perceptrons 1"
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* [http://www.cs.cmu.edu/~wcohen/10-605/mistake-bounds.pptx Slides in Powerpoint] | * [http://www.cs.cmu.edu/~wcohen/10-605/mistake-bounds.pptx Slides in Powerpoint] | ||
| − | === | + | === Preparation for the Class === |
| − | *[http://www. | + | |
| + | * [http://www.cs.cmu.edu/~wcohen/10-601/vp-notes/vp.pdf My notes on the voted perceptron]. (You can skip sections 3-4 on ranking and the structured perceptron in preparing for the class - they will be covered in this lecture). | ||
| + | * Optional reading: Freund, Yoav, and Robert E. Schapire. "Large margin classification using the perceptron algorithm." Machine learning 37.3 (1999): 277-296. | ||
| + | * Optional background on linear algebra: [http://www.cs.cmu.edu/~zkolter/course/linalg/ Zico Kolter's linear algebra review lectures] | ||
=== Optional Readings === | === Optional Readings === | ||
* [http://www.cs.cmu.edu/~wcohen/10-707/vp-notes/vp.pdf Notes on voted perceptron.] | * [http://www.cs.cmu.edu/~wcohen/10-707/vp-notes/vp.pdf Notes on voted perceptron.] | ||
Revision as of 12:48, 6 February 2015
This is one of the class meetings on the schedule for the course Machine Learning with Large Datasets 10-605 in Spring_2014.
Slides
Preparation for the Class
- My notes on the voted perceptron. (You can skip sections 3-4 on ranking and the structured perceptron in preparing for the class - they will be covered in this lecture).
- Optional reading: Freund, Yoav, and Robert E. Schapire. "Large margin classification using the perceptron algorithm." Machine learning 37.3 (1999): 277-296.
- Optional background on linear algebra: Zico Kolter's linear algebra review lectures
