Maximal Margin Support Vector Machine with Magnetic Field Effect
Tao Jian-wen①② Wang Shi-tong①
①(School of Information Engineer, Southern Yangtze University, Wuxi 214122, China) ②(School of Information Engineer, Zhejiang Business Technology Institute, Ningbo 315012, China)
Abstract:In this paper, a novel maximal margin Support Vector Machine with Magnetic Field effect (MFSVM) is proposed in allusion to the improvement of the generalization performance of pattern classification issue. By introducing a minimum q-magnetic field tape, the basic idea of MFSVM is to find an optimal hyper-plane with magnetic field effect such that one class (or normal patterns) can be enclosed in the q-magnetic field tape due to the magnetic attractive effect, while at the same time the margin between the q-magnetic field tape and the other class (or abnormal patterns) is as large as possible due to magnetic repulsion, thus implementing both maximum between-class margin and minimum within-class volume so as to improve the generalization capability of the proposed method. Experimental results obtained with benchmarking and synthetic datasets show that the proposed algorithm is effective and competitive to other related methods in such cases as two-class and one-class pattern classification respectively.
陶剑文, 王士同. 具有磁场效应的大间隔支持向量机[J]. 电子与信息学报, 2011, 33(5): 1055-1061.
Tao Jian-Wen, Wang Shi-Tong. Maximal Margin Support Vector Machine with Magnetic Field Effect. , 2011, 33(5): 1055-1061.