Sentence examples for means of regularization from inspiring English sources

Both L1-norm log linear regression and ridge regression solve this problem by means of regularization.

Also, n g is used for considering the asymptotic property of adaptation, which means relaxation of regularization effect including sparsity as adaptation data increase.

The inherent noise amplification, arising from the ill-conditioning associated with the inverse problem, is resolved by means of Tikhonov regularization scheme in conjunction with two techniques for optimal regularization parameter estimation.

The new approach is obtained by means of Tikhonov regularization.

Thus, the automatic selection of a single future axon among multiple elongating neurites occurs flexibly by means of the regularization of the somatic pool of factor X. Based on the phase diagram in Figure 4B, we see that robust neuronal polarization is realized when the threshold η is between the points indicated by (c) and (e).

The best solution of this problem is obtained by means of the Tikhonov regularization method.

Chiral anomaly is constructed with mathematical rigor by means of the lattice regularization.

We obtain a nonlocal version of the image restoration model which we call NLCEP- L 2. The new model for image restoration is characterized by means of the bi-regularization variational functional: begin{aligned} minlimits_{u,v}E u,v =int_{Omega}|nabla_{text{NL}}u|dx&+frac{alpha}{2}int_{Omega}|triangle_{text{NL}}v|^{2}dx&+frac{1}{2lambda}int_{Omega}left(,f-u-vright)^{2}dx end{aligned} (4).

The study was mostly based on degree theories for appropriate classes of operators and the usual method of regularization by means of the duality operator; see [6 10].

Many examples have been presented in the literature by means of the classical Tikhonov regularization x ^ = arg  min x { 1 2 ‖ y − H x ‖ 2 2 + λ 2 ‖ D x ‖ 2 2 } (9).

Fig. 3. Mean squared error as a function of regularization constant (a) net #1 (b) net #2 (c) net #3.