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- W2117975136 abstract "Concerning for air target attribute identification, an attribute identification method based on the combination of multi-class SVM and D-S evidence theory is proposed. The method constructs several multi-class support vector machine (SVM) classifiers, and generates the basic probability assignment (BPA) by the class-wise probability. Then D-S evidence theory is adopted to make the fusion and decision. Simulation results indicate that the method have a good identification of air target attribute, and prove the rationality and validity." @default.
- W2117975136 created "2016-06-24" @default.
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- W2117975136 date "2009-12-01" @default.
- W2117975136 modified "2023-09-25" @default.
- W2117975136 title "Target Attribute Identification Based on Multi-Class SVM and D-S Evidence Theory" @default.
- W2117975136 cites W2056983531 @default.
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- W2117975136 doi "https://doi.org/10.1109/cise.2009.5364400" @default.
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