Sentence examples for model models with from inspiring English sources

Table 1 Candidate models are grouped into four factor sets and the null model: models with covariates related to local conditions at the site, models containing measures of landscape characteristics across five spatial scales, one model with a combination of local covariates, and models with various combinations of local and landscape-related covariates   Model no.

After obtaining estimates for each model, models with location estimates outside the fitting boundary, which is a 8 σPSF × 8 σPSF square region concentric with image sub-region (red box Fig. 2(b)–2 e)), are discarded.

To quantify how much the inclusion of the cytoplasm improved the genetic models in describing metabolomic variation, we analyzed our additive and pairwise epistasis model models with and without the cytoplasmic terms.

Also a simplified model (two models: model with nonlinear springs, simple truss model) for predicting the force slip relation based on experimental and numerical studies was presented.

Global index model, model with multivariate ENSO index (MEI) lagged 1-6 months; Local climate model, model with local temperature lagged 1-3 months and relative humidity lagged 3-6 months; Combined model, model with both MEI and local temperature/relative humidity.

These black box models (models with poor interpretability) will generally perform better on complex problems in comparison to white-box models (models with good interpretability) such as Decision Trees (DT) or Linear Regression (LR).

These models can be categorized into four major categories, including classic models, models with elastic approach, semi-experimental models and homogenous models; in the following, some of the most well-known models are introduced.

If the expression of the construct is predicted by a model, it is also predicted by subsequent models (models with higher complexity) with 3 exceptions: kni_+1, kni_223+64, Kr_BdelNc0.8.

Within a set of candidate models, models with relatively low AIC values are the most parsimonious and strike a balance between bias and variance of model predictions.

The second column gives the regions of the validated TM in the Pfam HMM (hidden markov models) models with respect to the given references.

Extending the approaches to other types of models that are implemented in standard animal breeding software, like threshold models, models with indirect genetic effects, models for test-day records, etc. is also in principle straightforward.