The phrase "as a regularization" is correct and usable in written English.
It can be used in contexts related to machine learning, statistics, or optimization, where regularization techniques are discussed to prevent overfitting.
Example: "The model was improved by incorporating dropout as a regularization technique to enhance its generalization capabilities."
Alternatives: "as a form of regularization" or "as a method of regularization".
Compact generalized singular value decomposition (CGSVD) is used to study the feasibility of using the International Reference Ionosphere (IRI) model as a regularization profile for ionospheric tomography experiments.
Next the different approximations obtained are used as a regularization operator in the solution of an ill-posed inverse problem in electrical volume conduction.
In order to avoid overfitting and instead of adding a regularization parameter in the criterion, early stopping is introduced as a regularization method for HK learning, which becomes HKES (Ho Kashyap with early stopping).
This control parameter can be regarded as a regularization term added to the error function of ME to establish better balance in bias variance covariance trade-offs and thus improves the generalization ability.
In this paper, we propose a Semi-Supervised Elastic Net (SSEN) regression method by utilizing sequential information between unlabelled samples and their temporally neighboring samples as a regularization term.
Moreover, this is shown that the likelihood of the Gaussian models developed for the subspaces could role as a regularization term and act as an extra prior knowledge in the estimation process and increases the final performance, significantly.
Equation (7) can be interpreted in a regularization framework as well as in a Bayesian point of view, and it is also known as the Tykhonov-Phillips regularization (Tykhonov, 1963; Phillips, 1962) or ridge regression (Hoerl and Ken-nard, 1970).
As a common regularization method, (ell_{1}) regularization ((p=1)) problem has many good properties since it is a convex programming problem.
As an example, a regularization can follow the tapering approach applied in Wardinski et al. (2008) to obtain estimates of spatially controlled small scale SV.
The fluids are modeled as Bingham materials with a regularization function proposed by Papanastasiou (1987).
The regularization parameter can be evaluated from the L-curve whose corner is used as a suitable regularization parameter (Rezghi and Hosseini 2009).
