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- W2393650873 abstract "Hyper-sphere support vector machines are proposed for solving multi-class classification problem.How to correctly classify the intersections of hyper-spheres is important for sphere structure support vector machines.Based on the analysis of such data samples,this paper presents a new simple classification rule which leads to a better generalization accuracy than the existing sub-hyper-sphere SVMs.Experimental results show the method is feasible and improves the performance of the resulting minimum bounding sphere-based classifier." @default.
- W2393650873 created "2016-06-24" @default.
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- W2393650873 date "2009-01-01" @default.
- W2393650873 modified "2023-09-24" @default.
- W2393650873 title "Improved hyper-sphere Support Vector Machine" @default.
- W2393650873 hasPublicationYear "2009" @default.
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