Sentence examples for many regularization methods from inspiring English sources

This leads to overall simple parameter setting of our method compared to many regularization methods.

Among the many regularization methods used for treating the problem, iterative methods have been shown to be effective.

Inverse heat conduction problems (IHCP) have become an interesting subject recently, and many regularization methods have been developed for the analysis of IHCP [1 13].

Recently, many regularization methods have been extensively studied for solving solutions of equilibrium problems (1.1) and (1.2); see [7 13] and the references therein.

Thirdly, our approach allows error analysis of the solutions because the structure recovery and noise amplification in the VanCittert iterations can be separated analytically, which is an advantage over many regularization methods for which errors are difficult to be estimated due to complicated regularization factors.

Among many regularization methods, Tikhonov regularization is the most commonly used method of regularization which tries to obtain regularized solution to Ax = b by choosing x to fit data b in least-square sense, but penalize solutions of large norm [49, 50].

Like many other regularization methods, the Mc.TGD determines the existence of associations by examining the estimated regression coefficients.

The Mc.TGD, MTGDR, and many other regularization methods (for example penalization methods) use zero as cutoff to determine existence of associations.

Such an approach has led to an analytic expression for error estimation of the restored images in our method as well as simple parameter setting for real applications, both of which are hard to attain in many regularization-based methods.

To guarantee the strong convergence of Krasnoselskii-Mann iteration, many authors use different regularization methods.

Following on the regularized regression approach, many different models with different regularization methods were proposed.