Sentence examples for a regularization model from inspiring English sources

This particular model emulated the winning ensemble model used in the Breast Cancer Prognosis Challenge (Chen et al., 2013), which combined a boosting regression model (GBM), a regularization model (Elastic-Net Generalized Linear Model, using the R package glmnet) and k-nearest neighbors (using the R-package Caret implementation).

In this article, an iterative regularization model (IRM) with adaptive parameter is addressed.

A new learning algorithm derived from a well-known regularization model is generated and applied to the task of reconstruction of an inhomogeneous object as pattern recognition.

Through developing a thresholding representation of solutions for a key subproblem of this regularization model, we design a shrinkage-thresholding projection (STP) algorithm to solve this model and also analyze convergence of STP algorithm.

This paper proposes a novel energy minimized regularization model for multichannel image denoising, which is an extension of the non-local total variational model for gray-scale image.

A new ANN-based regularization model is generated and applied to the task of reconstruction of an inhomogeneous object.

The authors in [18] propose a bivariate total variation regularization model to calibrate the volatility (sigma=sigma(S,t)), the existence and convergence for the regularized approach are discussed and some numerical experiments are presented.

In the first step, we add a constraint on the TV regularization model to magnify the LR image and at the same time to suppress the noise in it.

In this paper, we first theoretically analyze the loss of contrast in the original TV regularization model, and then propose a forward-backward diffusion model in the framework of total variation, which can effectively preserve the edges and contrast in TV image denoising.

Yin et al. proved a more simple equivalent formation to the Bregman iterative regularization model in [6].

To cope with this problem, we propose a novel low rank constraint and spatial spectral total variation regularization model.