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 | ||
| − | === | + | === 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 | |
| − | * | ||
| − | |||
| − | * The | ||
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Revision as of 10:19, 15 October 2013
Slides
Readings
- Ensemble Methods in Machine Learning, Tom Dietterich
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
