CS 461: Machine Learning
Instructor: Kiri Wagstaff

Reading Questions for Lecture 9

Ensemble Learning (15.1-15.5)
  1. What are the serial and parallel ways to combine multiple base-learners?
  2. What is an error-correcting output code?
  3. Why do we use "unstable" algorithms for bagging, and what does it mean?
  4. What is the difference between bagging and boosting?