Note that we used support vector machines (SVMs) in our experiments and (the absolute value of) the distance between a sample and the hyperplane determined by the SVMs was used as confidence value r. The training data are denoted by L ⊂ X ×CL, and we denote the learning by function LEARN ; if classifier c is trained by training data L, then c = LEARN (L).
we denote the training sets for S and T that are manually prepared by L S and L T , respectively.