Hi, dear friends. Please, answer for my question about SSL (Semi-Supervised Learning) task. It deals with full (large) un-labeled training set and labeled small part of it. Are SSL methods assume, that joint probability distribution of parameter values of the labeled data sets is same, as for full unlabeled data set, or these distributions may essentially differ? Thanks beforehand for your answer.