Difference between revisions of "10-601 Ensembles 1"
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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 === | === Summary === | ||
Revision as of 10:21, 15 October 2013
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:
- Bagging
- Boosting
- Stacking
- Multilevel Stacking
- The "bucket of models" classifier
