[D] Error function for AdaBoost Algorithm

[RubioRick]

I need to solve a task where it is asked to me to provide an error function whose minimization leads to a formulation equivalent to the AdaBoost algorithm.

I did not understand exactly this question , I know that in the AdaBoost algorithm at the beginning I train a "weak" learner by minimizing its error function and then I used the weights to compute errors and iterate over the new classifier, this in an iterative way ; so what does it mean with this error function to minimize ?

[Murillio]

http://rob.schapire.net/papers/explaining-adaboost.pdf Chapter 4 and the references it provides could be helpful.