Sentence examples for a regularized model from inspiring English sources

The phrase "a regularized model" is correct and usable in written English.
It can be used in contexts related to statistics, machine learning, or data analysis, where models are adjusted to prevent overfitting.
Example: "In our study, we implemented a regularized model to improve the accuracy of our predictions."
Alternatives: "a constrained model" or "a penalized model".

Exact(3)

A regularized model based on strain gradient plasticity is then proposed to ensure fully mesh insensitive simulations and properly describe the finite thickness of the Lüders band front.

The proposed strategy is based on a regularized model where the transport velocity in the advective fluxes is shifted proportionally to the pressure potential gradient.

To overcome this, in [22], we have proposed a regularized model which is an interpolation of two classical models, Perona-Malik and p-Laplacian with p→∞.

Similar(57)

As a sparsely regularized model for comparison, we used L p -regularized LR(L p LR) (Liu et al., 2007) whose effectiveness has been demonstrated on expression microarray data.

We have presented LineageProgram, a log-linear sparse regularized model and inference algorithm for lineage-associated expression data that provide strong interpretability with no loss in predictive power.

In this section, we study the relation between the l 1 regularization projection model (6) and the original model (5), which indicates that the regularized model is a good approximation.

The parameter λ was selected using the most regularized model from a ten-fold cross validation, within one standard error of the minimum using the glmnet package in R39.

In Section 3, we give the regularization results for the regularized model (1.3) and obtain the maximum principle.

Below: Residue of fit (yellow points) for a double-bolus experiment (two 11C syntheses), together with the raw noise model (white lines) dependent upon signal intensities using the formula above, and a regularized noise model (red curve) fit by polynomials.

Numerical results demonstrate that the STP method can efficiently solve this regularized model and get a sparsest solution of LCP with high quality.

The use of a regularized contact model in the underlying state problem makes it possible to use efficient smooth optimization algorithms for the systematic synthesis of CCMs.

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