Sentence examples for fitting step from inspiring English sources

The first model is more accurate however it demands an offline model fitting step.

In case of abnormal mesh deformation, the current analysis was discarded and the operator had to return to the mesh fitting step.

Therefore, all interactions not given by these measurements can be excluded from the parameter fitting step.

In order to compute F, a baseline fitting step was performed to model photo-bleaching effect and a peak detection step was performed to model the signal peak.

Diggle et al 6 and Lawson 40 have suggested fitting step function models, which include a plateau of constant elevated risk up to an unknown distance δ, and models allowing for angular direction from a point source.

Penalized feature-selection methods, which embed feature selection in the classifier fitting step, may also have advantages, because features that might not be discriminatory individually could be jointly predictive in combination with other features.

The model was validated in previous work by fitting step-response experiments which were performed over a range of temperatures and in which concentration gradients over the catalyst layer were directly measured.

Several methods can be used to identify a nonlinear viscoelastic model, but given that the QLV and AQLV models are capable of fitting step-wise elongations (admittedly with a fairly large number of parameters), we decided to modify these models to also fit the saccadic and constant-speed elongations.

Data were analysed by calculating correlation coefficients between VFQ-25 domain scores and ETDRS scores and by fitting step-wise multiple linear regression models to determine the predictors of VFQ-25 domain scores.

The lists of positive and challenging aspects of a Pulmonary Rehabilitation Programme produced following the three workshops were organised into a series of over-arching themes under which the positive and challenging aspects fitted (Step 8, Output 2, Figure 1).

One at a time, all covariates excluded from the initial model fits (steps 2 and 3) are re-tested to confirm they are neither statistically significant (p ≤ 0.05) or a confounder.