吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (2): 440-445.doi: 10.13229/j.cnki.jdxbgxb201402026

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A variable trade-off parameter support vector domain description

LIU Fu, HOU Tao, LIU Yun, ZHANG Xiao   

  1. College of Communications Engineering, Jilin University, Changchun 130022, China
  • Received:2013-02-25 Online:2014-02-01 Published:2014-02-01

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Abstract:

Despite the factor that Support Vector Domain Description (SVDD) model is an effective method for describing a set of training data, one inherent drawback is that the description is very sensitive to the selection of the trade-off parameter, which is hard to estimate in practice. To solve the difficulty, we proposed a novel Variable Trade-off parameter Support Vector Domain Description (VT-SVDD). In the proposed VT-SVDD, first, we assigned a position-based variable trade-off parameter to each data point. Then we computed a convex constrained quadratic programming based on the variable trade-off parameters. Finally, we can obtain a spherical data domain description for the training data. Experimental results demonstrate that the VT-SVDD can significantly improve the accuracy and robustness on UCI data sets.

Key words: computer application, support vector domain description (SVDD), trade-off parameter, robustness

CLC Number: 

  • TP391.4

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