ABSTRACT
In this chapter, we present the experimental results of combining SVM and DGSOT to reduce the training time of SVM. We compare the results with pure SVM, Rocchio bundling, and random selection SVM. We also present a complexity analysis of our approach (SVM and DGSOT). Furthermore, we discuss and explain the results. However, first, we present our experimental setup, algorithm parameter values, and the dataset used in these experiments.
