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- Radial_basis_function_kernel abstract "In machine learning, the (Gaussian) radial basis function kernel, or RBF kernel, is a popular kernel function used in support vector machine classification.The RBF kernel on two samples x and x', represented as feature vectors in some input space, is defined asmay be recognized as the squared Euclidean distance between the two feature vectors. is a free parameter. An equivalent, but simpler, definition involves a parameter Since the value of the RBF kernel decreases with distance and ranges between zero (in the limit) and one (when x = x'), it has a ready interpretation as a similarity measure.The feature space of the kernel has an infinite number of dimensions; for , its expansion is:".
- Radial_basis_function_kernel wikiPageExternalLink kernels_part_1.
- Radial_basis_function_kernel wikiPageID "38652210".
- Radial_basis_function_kernel wikiPageRevisionID "604784590".
- Radial_basis_function_kernel hasPhotoCollection Radial_basis_function_kernel.
- Radial_basis_function_kernel subject Category:Kernel_methods_for_machine_learning.
- Radial_basis_function_kernel comment "In machine learning, the (Gaussian) radial basis function kernel, or RBF kernel, is a popular kernel function used in support vector machine classification.The RBF kernel on two samples x and x', represented as feature vectors in some input space, is defined asmay be recognized as the squared Euclidean distance between the two feature vectors. is a free parameter.".
- Radial_basis_function_kernel label "Radial basis function kernel".
- Radial_basis_function_kernel label "径向基函数核".
- Radial_basis_function_kernel sameAs m.0r8kxnz.
- Radial_basis_function_kernel sameAs Q7280263.
- Radial_basis_function_kernel sameAs Q7280263.
- Radial_basis_function_kernel wasDerivedFrom Radial_basis_function_kernel?oldid=604784590.
- Radial_basis_function_kernel isPrimaryTopicOf Radial_basis_function_kernel.