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- W72481200 abstract "In document community support vector machines and naïve bayes classifier are known for their simplistic yet excellent performance. Normally the feature subsets used by these two approaches complement each other, however a little has been done to combine them. The essence of this paper is a linear classifier, very similar to these two. We propose a novel way of combining these two approaches, which synthesizes best of them into a hybrid model. We evaluate the proposed approach using 20ng dataset, and compare it with its counterparts. The efficacy of our results strongly corroborate the effectiveness of our approach." @default.
- W72481200 created "2016-06-24" @default.
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- W72481200 date "2012-01-01" @default.
- W72481200 modified "2023-09-26" @default.
- W72481200 title "A Regularized Linear Classifier for Effective Text Classification" @default.
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- W72481200 doi "https://doi.org/10.1007/978-3-642-34481-7_27" @default.
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