Sentence examples for independent importance from inspiring English sources

He wrote, "To me there is no independent importance to winning a crown before the real crown".

In many studies, education and income are regarded as two closely related factors; however, each one has independent importance in their function in remarriage.

Due to its independent importance, embryological origin of uterine anomalies has been adopted as a secondary basic characteristic in the design of the main groups of the new proposal.

Before the general acceptance of the von Neumann ordinals in the later 1920s and the consequent 'reduction' of the full theory of the ordinals to 'pure' set theory, there was a vigorous debate about the independent importance of the transfinite numbers.

Hierarchical partitioning [50] were used to compare the relative and independent importance of our three environmental variables (litter depth, understory density and canopy openness) on the abundance of the arthropod fauna.

Therefore, a well-conserved SLiM in an overall highly conserved protein does not guarantee independent importance.

For the problem that the computational effort of the moment-independent importance measure is usually too high, the computation of the proposed moment-independent importance measures is transformed into that of the variance-based importance measures on their intrinsic relationship.

However, until now robust and efficient computational methods for moment-independent importance measures are unavailable in the literature.

This paper presents a general formulation of moment-independent importance measures and several commonly discussed importance measures are unified based on Minkowski distance (MD).

To properly address this issue, a new computational method based on sparse grid integration (SGI) is proposed to perform moment-independent importance analysis in an efficient framework.

Moment-independent importance measures can be categorized into three classes of MD importance measures, i.e. probability density function based MD importance measure, cumulative distribution function based MD importance measure and quantile based MD importance measure.