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- W2369937529 abstract "The paper studies the form of the result of SVM with covariance function as the kernel function under some conditions, and draws the conclusion that Kriging is equivalent to SVM under those conditions. Based on the conclusion, we put forward the idea of using the covariance function as a substitute for the RBF kernel function of SVM. Considering that the covariance function could not exist in some conditions, we put forward the idea of using the variogram function as a substitute for the covariance function and prove their equivalence. It not only solves the problem of parameter estimation of SVM kernel function, but also connects the SVM with the Kriging, which gives new statistical meaning to SVM." @default.
- W2369937529 created "2016-06-24" @default.
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- W2369937529 date "2002-01-01" @default.
- W2369937529 modified "2023-09-25" @default.
- W2369937529 title "THE PARAMETER ESTIMATION OF RBF KERNEL FUNCTION BASED ON VARIOGRAM" @default.
- W2369937529 hasPublicationYear "2002" @default.
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