Table 6 The computation time and performance of different classifiers in the subcellular localization task. The classification time is the time to classify a profile-alignment score vector with dimension equal to the number of training vectors. The training time is the time required to train a classifier, given a profile-alignment score matrix K. In PDAproj+SVM, PDA was applied to project the samples in the input space to a (C - 1)-dim space (C = 4 here); the projected vectors were then classified by RBF-SVMs.

From: Fast subcellular localization by cascaded fusion of signal-based and homology-based methods