The phrase "associated with the regularization" is correct and usable in written English.
It can be used in contexts discussing statistical methods, machine learning, or any field where regularization techniques are applied to improve model performance.
Example: "The results of the study were significantly improved when the parameters were associated with the regularization techniques employed."
Alternatives: "linked to the regularization" or "related to the regularization".
Optimizing the regularization parameter associated with the individual chromophores is an important element to obtaining a good reconstruction.
With the proposed regularization technique, problems associated with the flow-induced irregularity of particle distribution in the Lagrangian finite point scheme are circumvented.
We propose two methods for reducing the errors associated with the discontinuity and improving convergence with respect to the regularization parameter.
The inherent noise amplification, arising from the ill-conditioning associated with the inverse problem, is resolved by means of Tikhonov regularization scheme in conjunction with two techniques for optimal regularization parameter estimation.
The gradient of the performance function is evaluated by means of the improved adjoint variable method, which resolves the difficulty associated with the singularity of the adjoint equation through its inherent regularization property.
We hypothesize that the fact that genes in a module are roughly associated with the same biological process, ensures an optimal degree of regularization.
TV regularization strength of both illumination and reflectance should be associated with the spatial information of the surround suppression mechanism.
Computational results indicate that all these regularization terms produce similarly good registration quality but that the cost associated with the AIMCM approach is, on average, less than that for the others.
Correlating adjacent slices we implement a regularization approach to augment the optimization method with a cost term associated with the assumed linear relationship between adjacent primitives.
Provided that each IK associated with the matrix to be inverted is invertible in the Fourier domain (i.e., that has no zeros in that domain, because of the regularization term), the reciprocal kernel can be computed in that domain.
