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In addition, the selection of an optimal basis function is conducted to separate the useful basis function terms from the full set of the basis function.
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The multivariate adaptive spline basis function was used.
A radial basis function was used as the kernel function.
Radial basis function was chosen as a kernel.
The second type of basis functions is [15] (14).
On this basis, the model test scheme is conducted.
Discrimination between normal and pathological subjects is conducted using SVM with a radial basis function kernel.
The stability analysis is conducted on the basis of Lyapunov's direct method with quadratic Lyapunov function candidates.
These basis functions are chosen to be linear Lagrange elements.
The basis functions are specified with α = (m,n,G).
Symmetric basis functions are very useful in various applications.
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