Sentence examples for distinguished variables from inspiring English sources

Furthermore, they use timed automation in their modeling which do not allow to consider evolution speeds different from 1. On the one hand, this leads to simple and more efficient model-checking algorithms but, on the other hand, the states graph they get is more complex since they have to deal with distinguished variables standing for either positive or negative or even null evolution rate.

A basic PNN applying the same smoothing factor to all variables does not distinguish variables adding little or no predictive power to the model from others.

Table 2 shows that both the inclusion frequency and the sequence in which indicators were retained varied considerably between MI and B. For MI, the inclusion frequency varied from 27%to100%0%, whereas that range was 51.8% to 100% for B. This indicates that MI is more sensitive to distinguish variables with a strong effect from variables with a weak effect on the outcome.

Software product line engineering (SPLE) is a field of software engineering involving the production of serial applications through distinguishing variable parts from unchangeable parts.

Our study is the first one to distinguish variable morphology of ossified STSL.

In order to distinguish variable regions due to ambiguous alignment from those due to natural variation, the average h ˜ value is computed for the region C i ∪ V i ∪ C i +1 by formula (3) with parameters 'start' and 'end' set as the first character of C i and the last character of C i +1, respectively.

And so, two types of variables were distinguished: active variables which contribute to create factorial axes, and illustrative variables which permit to improve the analysis by calculating the Pearson's chi-square (χ2).

Table  2 shows that the tests distinguished the variables that satisfied the proportionality assumption and the variables that did not when they were in the same model.

As with any system, parameters are distinguished from variables.

Common themes among most correlated variables were distinguished, and new variables were created as functions of the original 44 demographic variables.

Since it is crucial for a MILP model to distinguish between variables and coefficients, variables are typeset bold.