Difference between revisions of "10-601 Ensembles 1"
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| + | This a lecture used in the [[Syllabus for Machine Learning 10-601 in Fall 2014]] | ||
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=== Slides === | === Slides === | ||
| + | * [http://www.cs.cmu.edu/~zivbj/classF14/boosting.pdf Slides in pdf]. | ||
* [http://www.cs.cmu.edu/~wcohen/10-601/ensembles1.ppt Slides in PowerPoint]. | * [http://www.cs.cmu.edu/~wcohen/10-601/ensembles1.ppt Slides in PowerPoint]. | ||
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* [http://dl.acm.org/citation.cfm?id=743935 Ensemble Methods in Machine Learning], Tom Dietterich | * [http://dl.acm.org/citation.cfm?id=743935 Ensemble Methods in Machine Learning], Tom Dietterich | ||
| + | * [http://cseweb.ucsd.edu/~yfreund/papers/IntroToBoosting.pdf A Short Introduction to Boosting], Yoav Freund and Robert Schapire. | ||
| − | === | + | === Summary === |
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| − | * | + | You should know how to implement these ensemble methods, and what their relative advantages and disadvantages are: |
| − | ** | + | * (Ziv - not sure if can do in one lecture if we do boosting) Bagging |
| − | ** | + | * Boosting |
| − | * | + | * Stacking |
| + | * Multilevel Stacking | ||
| + | * (Ziv - not sure if I will do this) The "bucket of models" classifier | ||
| + | * Random forest | ||
Latest revision as of 08:53, 22 October 2014
This a lecture used in the Syllabus for Machine Learning 10-601 in Fall 2014
Slides
Readings
- Ensemble Methods in Machine Learning, Tom Dietterich
- A Short Introduction to Boosting, Yoav Freund and Robert Schapire.
Summary
You should know how to implement these ensemble methods, and what their relative advantages and disadvantages are:
- (Ziv - not sure if can do in one lecture if we do boosting) Bagging
- Boosting
- Stacking
- Multilevel Stacking
- (Ziv - not sure if I will do this) The "bucket of models" classifier
- Random forest
