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• W2579227444 abstract "The ν-nonparallel support vector machine (ν-SNPSVM) for classification has the advantage of using a parameter ν on controlling the number of support vectors. However, it ignores the prior structural information in data. In this paper, we propose a novel nonparallel classifier, named ν-Structural Nonparallel Support Vector Machine (ν-SNPSVM), for binary classification. Each model of ν-SNPSVM considers not only the compactness in both classes by the structural information but also the separability between classes, thus it can fully exploit prior knowledge to directly improve the algorithm's generalization capacity and is certainly superior to NPSVMs and other twin SVMs theoretically. Experimental results on lots of data sets show the effectiveness of our method." @default.
• W2579227444 created "2017-01-26" @default.
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• W2579227444 date "2016-10-01" @default.
• W2579227444 modified "2023-09-26" @default.
• W2579227444 title "v-Structural Nonparallel Support Vector Machine for Pattern Classification" @default.
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• W2579227444 doi "https://doi.org/10.1109/wiw.2016.021" @default.
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