Table 1 Algorithm of the Discrete AdaBoost.
Start with weights wi = 1/N |
Repeat for m = 1, 2, …, M: |
-Fit the classifier fm(x) ∈ {−1, 1} using weights wi on the training data |
-Compute |
-Set |
Output the classifier |
Start with weights wi = 1/N |
Repeat for m = 1, 2, …, M: |
-Fit the classifier fm(x) ∈ {−1, 1} using weights wi on the training data |
-Compute |
-Set |
Output the classifier |
and renormalize so that 
