Fig. 3

The first iteration in which the negative example set N ₁ is obtained by moving the classification hyperplane towards positive example set In figure 3, plus signs, plus signs with circle and circles denote positive examples, potential positive examples and unlabeled examples respectively. The points covered by ellipse are negative examples set N₁ and the line is classification hyperplane. With the positive examples and initial negative example set N₀,the SVM classifier C₀ is learned, the negative example set N₁ consists of the support vectors of C₀ and the unlabeled examples predicted as negative examples.