Boosting (ADAboost)
	• First train the base classifier on all the training data with equal importance weights on each case. • Then re-weight the training data to emphasize the hard cases and train a second model. – How do we re-weight the data? Maybe some theory can help. • Keep training new models on re-weighted data • Finally, use a weighted committee of all the models for the test data. – How do we weight the models in the committee? Maybe some theory can help.