# How is a single classifier fitted on AdaBoost?

My trouble is how the classifier $$G_m(x)$$ is trained, What does mean a classifier to be trained using weights $$w_i$$? Is it to fit classifier through $$\{w_i,y_i\}_{i=1}^{N}$$?