Sentence examples for shrinking parameter from inspiring English sources

The critical values corresponding to the suction parameter fw and the shrinking parameter λ are computed.

Figure 3 Effects of M on velocity when (a) K = 1, Sc = 1, K s = 1, f w = 1 and (b) K = 1, Sc = 1, K s = 1, f w = − 1. Figures 4(a) and 4(b) illustrate the effects of the stretching or shrinking parameter and volume fraction on the solute concentration when K = 1, Sc = 1, K s = 1, M = 2, f w = 1.

Figures 3(a) and 3(b) illustrate the effect of the magnetic parameter, nanoparticle volume fraction and stretching or shrinking parameters on the velocity profiles.

The solute concentration at the surface is found to decrease with the strength of the homogeneous reaction, and to increase with heterogeneous reactions, the permeability parameter and stretching or shrinking parameters.

Thus, once the automated segmentation routine was completed, the contour of each object was shrunk using two shrink parameters - shrink and shrink level.

We show that shrinking additional parameters, including the main parameter of interest, e.g. the treatment effect, may further enhance power and reproducibility.

Regularization consists of shrinking the parameter estimates to avoid their unstability present when there are a huge number of variables compared to a small number of observations (as in the microarray setting).

Van de Wiel et al. (VU University, Netherlands) developed a Baysian method for shrinking multiple parameters in a statistical model [ 11].

Van de Wiel et al. [ 36] proposed ShrinkHT, a Bayesian method for shrinking multiple parameters in a statistical model where 'shrinkage' refers to borrowing information across features.

We introduce ShrinkHT, a Bayesian method for shrinking multiple parameters in a statistical model, where 'shrinkage' refers to borrowing information across features.

This method constrains the magnitude of the model parameters (and shrinks some parameters to zero, thereby eliminating them) to prevent problems commonly associated with the overfitting of models.