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- W1534943237 abstract "This paper proposes a kind of novel kernel functions obtained from the reproducing kernels of Hilbert spaces associated with special inner product. SVM with the proposed kernel functions only need less support vectors to construct two-class hyperplane than the SVM with Gaussian kernel functions, so the proposed kernel functions have the better generalization. Finally, SVM with reproducing and Gaussian kernels are respectively applied to two benchmark examples: the well-known Wisconsin breast cancer data and artificial dataset." @default.
- W1534943237 created "2016-06-24" @default.
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- W1534943237 date "2008-01-01" @default.
- W1534943237 modified "2023-10-16" @default.
- W1534943237 title "A Class of Novel Kernel Functions" @default.
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- W1534943237 doi "https://doi.org/10.1007/978-3-540-88906-9_24" @default.
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