Difference between revisions of "Class meeting for 10-605 Parallel Perceptrons"
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* Lecture 1: [http://www.cs.cmu.edu/~wcohen/10-605/perceptrons-1.pptx in Powerpoint], [http://www.cs.cmu.edu/~wcohen/10-605/perceptrons-1.pdf in PDF]. | * Lecture 1: [http://www.cs.cmu.edu/~wcohen/10-605/perceptrons-1.pptx in Powerpoint], [http://www.cs.cmu.edu/~wcohen/10-605/perceptrons-1.pdf in PDF]. | ||
| − | * Lecture 2: [http://www.cs.cmu.edu/~wcohen/10-605 | + | * Lecture 2: [http://www.cs.cmu.edu/~wcohen/10-605/perceptrons-2.pptx in Powerpoint], [http://www.cs.cmu.edu/~wcohen/10-605/perceptrons-2.pdf in PDF]. |
| − | * Lecture | + | * Lecture 2: [http://www.cs.cmu.edu/~wcohen/10-605/perceptrons-3.pptx in Powerpoint], [http://www.cs.cmu.edu/~wcohen/10-605/perceptrons-3.pdf in PDF]. |
=== Quiz === | === Quiz === | ||
* [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] | ||
| Line 16: | Line 16: | ||
* [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.] | ||
| − | === Readings | + | === Readings === |
| + | * [https://cseweb.ucsd.edu/~yfreund/papers/LargeMarginsUsingPerceptron.pdf Large Margin Classification Using the Perceptron Algorithm], Freund and Schapire, MLJ 1999 | ||
| + | * [http://www.cs.columbia.edu/~mcollins/papers/tagperc.pdf Discriminative Training Methods for Hidden Markov Models], Collins EMNLP 2002. | ||
*[http://www.ryanmcd.com/papers/parallel_perceptronNAACL2010.pdf Distributed Training Strategies for the Structured Perceptron], R. McDonald, K. Hall and G. Mann, North American Association for Computational Linguistics (NAACL), 2010. | *[http://www.ryanmcd.com/papers/parallel_perceptronNAACL2010.pdf Distributed Training Strategies for the Structured Perceptron], R. McDonald, K. Hall and G. Mann, North American Association for Computational Linguistics (NAACL), 2010. | ||
Latest revision as of 11:33, 5 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, in PDF.
- Lecture 2: in Powerpoint, in PDF.
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.
