Understanding Weighted learning in Ensemble Classifiers
Adaboost is an Ensemble Classifier, which means that it consists of several weak classifiers that are able to consider weights in the training set. These weights can be used to inform the training of each weak classifier. For example, decision trees can be grown in a way that favor splitting sets of samples with higher weights.