The phrase "a new regularization" is correct and usable in written English.
It can be used in contexts related to mathematics, statistics, or machine learning, where regularization techniques are discussed.
Example: "The researchers proposed a new regularization to improve the model's performance on the dataset."
Alternatives: "an updated regularization" or "a novel regularization".
Second, a new regularization method is proposed to realize the deterministic dynamic load identification.
In this paper a new regularization method for acoustic imaging by inverse approach is proposed.
Firstly, a new regularization term which adopts Regional Adaptive Weight Coefficients (RAWC) is produced to keep edges and flat regions.
This paper presents a new regularization method based on dynamic tunneling for enhancing generalization capability of multilayered neural networks.
On the basis of the reviewed background, a new regularization method adapted to the problem at hand is introduced.
To overcome such flaw, a new regularization term named RLSD is adopted into MatCD by taking advantage of Locality Sensitive Discriminant Analysis (LSDA) in this paper.
In the present paper, we proposed two new regularization method: a modified quasi-boundary value method and an iteration method for solving Problem (1).
We proposed a new iterative regularization method for GIB by iteratively redefining the form of regularization matrix and calculating the corresponding solution.
We propose a new weighted regularization method which deals with orientations which are strictly neither 1D, 2D nor 3D and ensures a smooth transition between the 3 cases.
In this study, we develop a new model regularization method by introducing an edge-preserving smoothing operator to detect the model edges in traveltime tomography.
Inspired by ideas taken from the machine learning literature, new regularization techniques have been recently introduced in linear system identification.
