Enhancing Generalization Capability of SVM Classifiers with Feature Weight Adjustment

  • HE Qiang
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Online published: 2008-07-25

Cite this article

HE Qiang . Enhancing Generalization Capability of SVM Classifiers with Feature Weight Adjustment[J]. Journal of Hebei University(Natural Science Edition), 2008 , 28(4) : 337 -340,345 . DOI: 10.3969/j.issn.1000-1565.2008.04.001

References

[1] VAPNIK VLADIMIR N. The nature of statistical learning theory [M]. New York:springer-verlag 1995.
[2] VAPNIK VLADIMIR N. Statistical learning theory [M]. New York:A Wlley-Interscience Publication 1998.
[3] Vapnik Vladimir N.. Overview of statistical learning theory [J]. IEEE Transactions on Neural Networks 1999, 5(5).
[4] 边肇棋, 张学工. 模式识别 [M]. 北京:清华大学出版社 2002.
[5] BASAK J, DE R K, PAL S K. Unsupervised feature selection using a neuro-fuzzy approach [J]. Pattern Recognition Letters 1998, 19.
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