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The SVM With Uneven Margins and Chinese Document Categorization

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Figure

Figure 1: A toy 2-dimensional classification problem and the SVM classifiers. The two graphsillustrate two different kinds of training set
Figure 1 are representative of the whole dataset, and hence the maximal margin classifier learnedfrom the training set has good generalisation capability
Figure 2: Two experiments demonstrate the benefit gained from the SVM with uneven margins.The left graph shows the results of classification problems with ten different numbers of positive

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