The experimental results suggest that by combining iBTK and dBTK together, we can achieve more improvement.
given feature spaces defined in the last two sections, we propose a 2-phase sub-tree alignment model as follows: In the 1 st phase, a kernel based classifier, SVM in our study, is employed to classify each candidate sub-tree pair as aligned or unaligned.