10-601 Ensembles 1
From Cohen Courses
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
