We adopt this idea to generate two views of the instances in both domains by randomly splitting the common feature space into two disjoint feature subsets, such that t,r }.
the initial prediction model will include two predictors (f (1) , f (2) ) with model parameters (w , each trained on one view of the labeled data using the perceptron algorithm.