Sentence examples for interdependency of variables from inspiring English sources

Exact(1)

The interdependency of variables and their influence in the total operating cost (OPEX) is estimated.

Similar(59)

The insight of interdependency of the variables gained in non-parametric regression and multivariate principal component analysis is employed to develop an effective neural network.

It is also shown that due to this interdependency of the variables, the application of JDRV method in reliability assessment of rock slope stability will result in errors and hence, the MC method will be the preferable method.

We also explored the interdependency of our variables by implementing a gene interaction network model in GALGO.

Thirdly, an improved decomposition framework of attribute self-adaptive co-evolution is adopted to capture interdependencies of decision variables.

The experimental results show that this is a complex process characterized by the interdependency of the different variables (cyanide concentration, pH, temperature and stirring speed).

Comparison of the results indicates that the results of the JDRV method include a degree of error, primarily due to the interdependency of some of the variables in the formulation.

This figure illustrates the interdependency of these top-ranked variables, with line thickness representing the relative dependency strength.

Compared with traditional methods, games can be a great way to model the future by showing relationships and interdependency between variables, says Gabe Zichermann, author of The Gamification Revolution and chair of GSummit, a popular gamification conference being held this week in San Francisco.

This is problematic in that traditional menu management and analysis models share the common and irremediable shortcoming of variable interdependency, in which the central intersection between vectors in a matrix is dictated by the means for the associated variables.

The information gained about the interdependencies between observed variables can be used later to reduce the set of variables in a dataset.

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