Sentence examples for less regularized from inspiring English sources

Exact(1)

While the root and pattern system is operative in the Berber family, it is less regularized there than in the Semitic languages.

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In terms of popular culture, a more regularized and less demanding working day and week became part of a new kind of working year, so that old calendrical observances and rituals were lost.

The denominator of Eq. (16) is regularized and less sensitive to spectral notches.

Both GLEAM and BLR are less powerful than the regularized methods especially when the effect sizes are small.

Already under the assumption that the flexibility needed is the same in all components a considerable number of models needs to be estimated and compared to choose the suitable number of degrees of freedom for finite mixtures of LMs, whereas the maximum number of degrees of freedom allowed when fitting finite mixtures of LAMs using regularized estimation is less crucial.

The decision to use a less fine grid for the LAMs with regularized estimation is based on the assumption that the degrees of freedom specified are less important in this case, because they only constitute an upper bound.

On one hand, as compared to conventional continuum surface force (CSF) model in the level set method, FESF model introduces no regularized delta function, due to which it suffers less from numerical diffusions and performs better in mass conservation.

All the datasets were restricted to the common probe IDs (24,145 probe IDs) by the 'intersect' function in R. As outlined above, 2,757 MVPs were identified (using a Bayesian regularized t-statistics model) with an FDR of less than 0.01 in HPV+ HNSCC, compared with HPV- HNSCC.

In addition, it is very stable in the regularized inversion and is influenced by the focusing parameter value much less than the MS and MGS stabilizers.

In addition, the decrease in performance from Scenario (c) to Scenario (f), when the number of interacting genes near which the causal SNPs are located increases from 1 to 5, indicates that SConES, like its structure-regularized comparison partners, performs better when the causal SNPs are less spread out in the network.

TS2: the regularized calibration problem (7 )-(8 ) is solved for each regularization parameter.

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