Sentence examples for performance differences in the from inspiring English sources

Exact(9)

If environments with contrasting selection pressures (such as different climates) are compared in reciprocal transplant experiments, significant performance differences in the native versus transplanted gardens may be attributed to local adaptation via genetic differences among the ecotypes (Bradshaw 1984; Linhart and Grant 1996).

Most of the performance differences in the battery were related to mathematics achievement.

Several performance differences in the profiles were found, but no between subject effects.

Moreover, an Analysis of Covariance (ANCOVA) on the data obtained in the IVIS-1 condition that held constant any performance differences in the single-task condition, found a significant effect of the IVIS voice-based interaction (F 9, 246) = 3.29, p < 0.001, η2 = 0.107).

Following Payne and Gawronski's recommendation [43], future doping research should aim to understand the roots of performance differences in the doping-related explicit and implicit assessment protocols in the context of external validation criteria (e.g., behavioural and bio- markers).

The correlation coefficient between word span and gradient on repeated trials was non-significant (r  =  −.14, p =  .25), indicating that the performance differences in the Hebb repetition learning task cannot be accounted for by individual differences in memory span.

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Similar(51)

The overall performance differences in these methods are frequently observed in machine learning studies, and likely reflect the underlying data structure and types of features available for analysis.

The reason behind this performance difference in the 1st iteration is that the turbo code performs better than BICM due to the Gray mapping employed.

We observed a substantial performance difference in the ability to predict the two GO categories (Molecular Function versus Biological Process).

This way, the performance differences in cost aggregation were solely determined by the different weighting strategies.

Given the performance differences in precision and recall of SSVMs and CRFs, they can be complementary to each other.

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