Sentence examples for model for merging from inspiring English sources

It could, instead, become a role model for merging creative economies with social development solutions using their IT skills.

Mircean et al. (2005) proposed a linear model for merging the signal originating from individual response curves.

A four-year record of crash data (2005 2008) and a statistical modeling technique that assumes a negative binomial distribution on generalized linear models (GLMs) were used to develop separate models for merging and diverging areas.

For achieving this characteristic, the algorithm takes advantage of 3D models for merging dissociated visual evidence (moving regions) potentially corresponding to the same real object, according to previously obtained information.

Here a unified provenance graph model is thus constructed where model unification procedure has been applied for merging element models from incrementally acquired information obtained at more recent time intervals as has been described earlier.

Here a unified provenance graph model is thus constructed where model unification procedure may be applied for merging element models from incrementally acquired information obtained at more recent time intervals as has been described earlier.

Only those model pairs are candidate for merging where this similarity measure exceeds a certain threshold value.

Here the essential graph thus constructed has trust weight link connecting common nodes in the models which are candidates for merging and this link weight is defined using a procedure described in Step 11.

Solutions for merging models that are achieved by applying this operator are more abstract and reusable than the ad-hoc solutions that are pervasive in many contexts of the Software Engineering field.

Here the essential graph thus constructed has trust weight link connecting common nodes in the models which are candidates for merging and this link weight is defined using a procedure described in Step 11.   Step 9.3.3: The best classifier with maximum probability of selection for the clustered model is identified from application of Eqs.

The candidate models participating in the procedure for merging have policy path classifiers which have been described as either only member of any set of similar classifiers or are members in the minimum cover set [33] of such similar classifiers that are present in the cluster.