Sentence examples for bandwidth of the kernel from inspiring English sources

Also, a generalized cross validation (GCV) criterion is proposed for selecting the optimal shrinkage parameter and the bandwidth of the kernel smoother and then, an extension of the GCV theorem is established to prove the convergence of the GCV mean.

The parameter h is called the window width or bandwidth of the kernel.

The kernel we choose is Gaussian kernel exp ( ( ∙ / h ) 2 ) h Π, where h is the bandwidth of the kernel.

These parameters include (1) Kernel function, (2) bandwidth of the kernel function (σ 2 ), (3) regularization parameter C, and (4) the tube size of ε-insensitive loss function.

Ψ is the kernel function that must integrate to 1, and h is the window width or bandwidth of the kernel.

The plug-in method enables optimization of the bandwidth of the kernel density estimator in order to estimate probability density functions (pdfs).

where the kernels K Δ = 1 Δ K ∘ Δ can be chosen from functions that are nonnegative, sum to 1 and symmetric around 0. h and g are called bandwidth of the kernels.

By definition, the (i, j ) th element of the Gaussian kernel K is calculated as K i j = k (x i, x j ) = exp (− ‖ x i − x j ‖ 2 h ), (9 where ‖ x i − x j ‖ is the Euclidean distance between vectors x i and x j, in our case the 711,320 × 1 vectors of methyl values of epiRILs i and j, and h is the bandwidth parameter of the kernel, which controls the smoothness of the fitted surface.

The bandwidth of the Epanechnikov kernel in range domain was set to, and the bandwidth of the one in spatial domain to.

For the bandwidth of the Gaussian kernel we used default values of the density function from basic R, since further calibration did not improve effect estimation.

Sigma denotes the bandwidth of the Gaussian kernel in units of distance in predictor feature space from the queried patient's predictor to the furthest predictor among the rest of the patients.