Pattern Recognition and Image Analysis

, Volume 28, Issue 1, pp 163–167 | Cite as

Total Margin Based Balanced Relative Margin Machine

Applied Problems


Inspired by the total margin algorithm, we extend balanced relative margin machine (BRMM) by introducing surplus variables, and propose a total margin based balanced relative (TM-BRMM). TMBRMM not only solves the loss of information points involved, but also addresses outliers at the outer boundaries that limit the maximum distance from points to separating hyperplane. Furthermore, by means of kernel function, it is easy to solve nonlinear separable datasets. The experiments on UCI datasets verify the feasibility and superiority of TM-BRMM.


support vector machine total margin relative margin kernel method 


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Copyright information

© Pleiades Publishing, Ltd. 2018

Authors and Affiliations

  1. 1.College of ScienceChina Agricultural UniversityBeijingChina

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