Sentence examples for modeling performance in from inspiring English sources

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We showed that, under the Bayesian framework, not only the passing of uncertain information to our model is straightforward due to the notion of prior information, but also that our model is capable of 'de-noising' that uncertain information, thus resulting in more accurate overall modeling performance in contrast to traditional models without this functionality implemented.

Experimental results prove the effectiveness of the proposed combined architectures in exploiting any sparseness degree and improving the modeling performance in nonlinear system identification problems.

In this section we study modeling performance in terms of the received energy ratio and path loss results for different geometry scenarios.

This probably caused the bad modeling performance in the work cited above [45].

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It shows that traditional studies focusing only on one part of uncertainty, either the input uncertainty or the uncertainty arising from the choice of model structure are limited in their explanatory power of the modeling performance, particularly in poorly gauged regions.

Further, it is the only investigation that examines the modeling performance of both in-hospital and 1-year mortality of the Elixhauser method, and is the first to report its differences in data periods between short- and long-term outcomes.

The advantages of ANNs over conventional mathematical methods in modeling performance have been recognized and confirmed by many research reports.

Still, combining sets describing complementary information consistently leads to small but consistent improvement in modeling performance (average MCC 0.01 better, average RMSE 0.01 log units lower).

Based on AME and MAE, the seasonal and global models had the smallest error in their modeling performance.

Finally, different injection and ambient conditions are simulated, with those selected values, providing a remarkable improvement in the modeling performance.

However, a particular choice for all these parameters can be found experimentally to achieve the best possible modeling performance (example values are given in Section 5 for the particular waveforms we used for testing the method).

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