Summary of the formulation for each of the main kernel methods GPR (Gaussian Process Regression, section 3), SVM (Support Vector Machines, section 4), KDE (Kernel Density Estimation, section 5), HSIC (Hilbert-Schmidt Independence Criterion, section 6).
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https://figshare.com/articles/dataset/Summary_of_the_formulation_for_each_of_the_main_kernel_methods_GPR_Gaussian_Process_Regression_section_3_SVM_Support_Vector_Machines_section_4_KDE_Kernel_Density_Estimation_section_5_HSIC_Hilbert-Schmidt_Independence_Criterion_section_6_/13162770
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资源简介：
The derivative formulation as well as some related analysis procedures in the literature as well as demonstrated in this paper.
创建时间：
2020-10-29
