信:支持向量机和贝叶斯分类器在系统评审分类任务上的性能

S. Matwin, A. Kouznetsov, D. Inkpen, Oana Frunza, P. O'Blenis
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引用次数: 10

摘要

我们非常感谢Cohen教授的来信以及对支持向量机算法(SVM)结果的澄清。我们同意他提供的结果填补了我们论文中的一个空白。我们无法在我们的论文中进行这种比较,因为第一个版本是在他自己的文章发表之前写的,1无论如何,正如科恩博士指出的那样,支持向量机的结果没有包括在组内平方和(WSS)方面。然而,我们想……
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Letter: Performance of SVM and Bayesian classifiers on the systematic review classification task
We are grateful to Professor Cohen for his letter and clarification of the support vector machine algorithm (SVM) results (in press). We agree that the results he supplies fill a gap in our paper. We could not have performed this comparison in our paper, as the first version was written prior to the publication of his own article,1 which in any case, as Dr Cohen points out, did not include the SVM results in terms of within-groups sum of squares (WSS). We would like, however, to …
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