Making weak learners stronger
	• Suppose you have a weak learning module (a “base classifier”) that can always get 0.5+epsilon correct when given a two-way classification task – That seems like a weak assumption but beware! • Can you apply this learning module many times to get a strong learner that can get close to zero error rate on the training data? – Theorists showed how to do this and it actually led to an effective new learning procedure (Freund & Shapire, 1996)