Sentence examples for higher regularization from inspiring English sources

The higher regularization parameter smoothed the reconstructions, making the extra- and intracranial reconstructions more similar to each other (Appendix).

This Appendix contains results of ∆[HbT] reconstructions calculated separately for real- and sham-TMS sessions (Fig. 8 ), of ∆[HbT] reconstructions calculated with the 5-layered head model (Fig. 9 ), of ∆[HbT] reconstructions with the higher regularization parameter (Fig. 10 ), and of ∆[HbO2] and ∆[HbR] reconstructions (Figs. 11 – 11 ).

We used a transformation matrix with high regularization (1e3 * (first eigenvalue)) to increase signal to noise ratio.

The use of high regularization values creates spatial filter weights with wide distributions and thus the level of causality information mixing will be higher.

When X is of high dimension, regularization is a standard practice, which consists in smoothing function f to ensure low generalization error and to prevent overfitting.

In patients, normalization used a high warping regularization value of 100 to prevent the algorithm from warping the lesion, an approach shown to be more reliable than cost function masking in images with lesions, producing reliable normalization in previous studies with patients (Tyler et al., 2005 a ; Crinion et al., 2007).

In patients, normalization used a high warping regularization value of 100 to prevent the algorithm from warping the lesion, an approach that has produced reliable normalization in previous studies on patients and has been shown to be more reliable than the alternative method of cost function masking (Tyler et al., 2005 a ; Crinion et al., 2007).

Further, due to fewer informative scans reporting on species with higher s values, regularization may produce a shallow increase in c(s) toward higher s values; this could in theory be improved by faster data acquisition.

It is shown that, unlike the integral estimator for generating the second-order radial derivative of geopotential, the system of equations from which the modification parameters are obtained is unstable for all types of modification, with large cap size and high degree, and regularization is strongly required for solving the system.

A higher λ gives stronger regularization.

We also show that the common use of distance functions in level-set methods to extend one dimensional regularization to higher dimensions may produce O(1) errors.