抄録
In this paper, we compare L1 and L2 support vector machines from the standpoint of training time and the generalization ability. For blood cell data, the generalization ability of L2-SVMs is a little higher than that of L1-SVMs but training time of L1-SVMs is usually shorter than that of L2-SVMs. We also compare the effect of the approximate KKT (Karush-Kuhn-Tucker) conditions using the bias term and the exact KKT conditions. According to the computer experiments, since the approximate KKT conditions give a conservative estimate of violating variables, training time using the approximate KKT conditions is usually shorter.
