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- W2364355928 abstract "In order to solve the problem that normal classifier SVM model was unsuitable with the circumstances that samples ratio was very large,a classification SVM model with variable punishment coefficient ratio was proposed.In the new model,the ratio of punishment coefficient was inversely proportional to the ratio of corresponding sample sizes.At last,experiments were conducted.Segmentation lines were respectively obtained through these models,and the results verified the new one.In this research,the kernel function is in the simplest form of inner product,but the new model is applicable for all the kernel functions." @default.
- W2364355928 created "2016-06-24" @default.
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- W2364355928 date "2008-01-01" @default.
- W2364355928 modified "2023-09-23" @default.
- W2364355928 title "A Classification SVM Model with Variable Punishment Coefficient Ratio" @default.
- W2364355928 hasPublicationYear "2008" @default.
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