Difference between revisions of "Class meeting for 10-605 Parallel Perceptrons 1"

From Cohen Courses
Jump to navigationJump to search
Line 10: Line 10:
 
* Optional reading:  Freund, Yoav, and Robert E. Schapire. "Large margin classification using the perceptron algorithm." Machine learning 37.3 (1999): 277-296.
 
* 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 background on linear algebra: [http://www.cs.cmu.edu/~zkolter/course/linalg/ Zico Kolter's linear algebra review lectures]
 
=== Optional Readings ===
 
* [http://www.cs.cmu.edu/~wcohen/10-707/vp-notes/vp.pdf Notes on voted perceptron.]
 

Revision as of 12:51, 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 - but they will be covered in this lecture). Alternatively, or in addition, you can view the lecture for 10-601 from 9/22 or 9/23, which can be accessed via MediaTech.
  • 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