Exact(1)
Furthermore, the shared prior shrinks posterior estimates of λ i 's toward their common prior mean, α/β, regularizing estimates especially when dealing with small sample sizes (Smyth, 2004).
Similar(59)
This is probably caused by the low-pass filtering operation of the regularizing functional or inappropriate estimation of the blur function.
A further approach for regularizing single-tensor tractography uses a moving least squares estimate which is weighted with the previous tensor [32].
Using iterative derivative estimates, in [10], Giga and Sawada considered the regularizing rates of the higher-order derivatives and analyticity for the NS for the initial velocity in (L^{n}).
The regularizing term P ϕ intrinsically maintains the regularity of the level set function without the need for extra re-initialization procedures.
The regularizing strategy employed in [2] is essentially based on the Tikhonov regularization and the conditional stability estimate ∥ u y ( 0 ) ∥ ≤ E for some a priori constant E.
In the parameter identification method, we adopt a non-linear data fitting procedure, such as the regularized output least square method where x̂ denotes the estimated optical parameters and Ψ x) is a regularizing penalty functional.
where FDEDR represents the adaptive (i.e., dependent on the SSP estimate b ^ ) matrix-form DEDR SO and P is the VA inspired regularizing projector onto convex solution sets (POCS).
In the regularizing procedures, several authors have studied finite-dimensional approximations obtained by projecting regularized approximations into finite-dimensional subspaces.
In the United States, he said, "people talk of regularizing immigrants.
That is why special regularizing methods are needed to solve them.
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