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- W1583472013 abstract "In this paper we propose some methods to build a kernel matrix for classification purposes using Support Vector Machines (SVMs) by fusing Gaussian kernels. The proposed techniques have been successfully evaluated on artificial and real data sets. The new methods outperform the best individual kernel under consideration and they can be used as an alternative to the parameter selection problem in Gaussian kernel methods." @default.
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- W1583472013 date "2006-01-01" @default.
- W1583472013 modified "2023-09-25" @default.
- W1583472013 title "Fusion of Gaussian Kernels Within Support Vector Classification" @default.
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- W1583472013 doi "https://doi.org/10.1007/11892755_98" @default.
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