Title:
SupportVectorMachinesClassifierBasedonModifyingKer
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- Category:
- AI-NN-PR
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- File Size:
- 656kb
- Update:
- 2012-11-26
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- fish_niu
Description: Two novel conformal transformations were proposed based on the Riemannian geometry theory and S.Amari’sidea.And the kernel function was modified by the transformation in a data-dependent way.Our experimental results for theartificial nonlinear data set show that the generalization performance of support vector machines classifier is improvedremarkably and the number of support vectors is decreased greatly.
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基于修正核函数的SVM分类器研究.kdh
