Sentence examples for effective regularization from inspiring English sources

Besides, using NCL strategy aids the ensemble to select the most effective regularization techniques and remove the redundant (ineffective) ones, which consequently decreases the complexity of final ensemble.

In this paper, we employ the non-local steering kernel regression (NLSKR) model to devise an effective regularization term for solving single image SR problem.

The main aim of this paper is to present a simple and effective regularization method, and investigate the error estimate between the regularization solution and the exact solution.

For linear ill-posed problems defined on a 'strip' or 'cylinder' domain, the Fourier method is the most simple and a very effective regularization method.

This approximation allows optimal inclusion of a priori information into retrieval procedure, thus ensuring the most effective regularization of the problem.

In order to confront our results, we first apply a mollification approach as an effective regularization method for solving an ill-posed problem for an associated reduced system for the Euler model under consideration, which in turn is solved by using the method of characteristics.

The developed scheme of mesh regularization is effective to maintain the high quality of domain parameterization during the shape optimization process.

From the results of Figs. 6 and 7, it can be said that the l p sparsity regularization is effective to improve the quality of the reconstructed images of broad targets by reducing the influence of noise.

The l p sparsity regularization is effective to enhance the localization, to reduce the artifacts and to recover the difference in μ a between the large and small changes, although small changes in μ a may be eliminated by the l p sparsity regularization when p is too small because it strongly localizes the changes in μ a.

In that sense, public health education policies in Angola should establish action guidelines that permit nurses' effective activities, including the regularization of vocational schools and based on the recognition of nurses as key elements to enhance the quality of health services in that country.

Recently, authors proposed a very effective method called sparsity, for regularization.