Difference between revisions of "Class meeting for 10-605 Parallel Perceptrons"
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* [https://qna.cs.cmu.edu/#/pages/view/55 Lecture 1 quiz] | * [https://qna.cs.cmu.edu/#/pages/view/55 Lecture 1 quiz] | ||
| − | * There is no quiz for lecture 2. | + | * There is no quiz for lecture 2, but I strongly recommend spending time reviewing the lecture notes. By now we should have covered all the proofs in those notes. |
* [https://qna.cs.cmu.edu/#/pages/view/62 Lecture 3 quiz] | * [https://qna.cs.cmu.edu/#/pages/view/62 Lecture 3 quiz] | ||
Revision as of 11:21, 3 October 2017
This is one of the class meetings on the schedule for the course Machine Learning with Large Datasets 10-605 in Fall 2017.
Contents
Slides
- Lecture 1: in Powerpoint, in PDF.
- Lecture 2: in Powerpoint (draft)
- Lecture 3: in Powerpoint (draft)
Quiz
- Lecture 1 quiz
- There is no quiz for lecture 2, but I strongly recommend spending time reviewing the lecture notes. By now we should have covered all the proofs in those notes.
- Lecture 3 quiz
Readings
Readings
- Large Margin Classification Using the Perceptron Algorithm, Freund and Schapire, MLJ 1999
- Discriminative Training Methods for Hidden Markov Models, Collins EMNLP 2002.
- Distributed Training Strategies for the Structured Perceptron, R. McDonald, K. Hall and G. Mann, North American Association for Computational Linguistics (NAACL), 2010.
