An analytical approach to fast parameter selection of gaussian RBF kernel for support vector machine

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School of Mechanical, Electronic, and Industrial Engineering, Singapore [1 ]
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不详 [3 ]
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J. Inf. Sci. Eng. | / 2卷 / 691-710期
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Analytical algorithms - Analytical approach - Class separability - Computationally efficient - Distance similarity - Gaussian radial basis functions - Parameter selection - Real-world datasets;
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