Difference between revisions of "10-601 Ensembles 2"
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Revision as of 15:50, 16 October 2013
Slides
- Slides in PowerPoint.
- Margin "movie" I showed in class: Margin movie.
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:
- Bagging
- Boosting
- Stacking
- Multilevel Stacking
- The "bucket of models" classifier