Sentence examples for mismatch performance from inspiring English sources

However, because of the present channel mismatch, performance loss will occur in this scenario.

For similar reasons, we also observe a slight decrease in the mean boundary mismatch performance for GASV as the standard deviation of the fragment lengths increases.

Our method is also highly robust to varying properties of the sequencing library and to the sizes of the tandem duplications, as shown by its stable precision, recall and mean boundary mismatch performance.

As shown in the above analysis, DB consistently achieves the best F1-score and recall performance, but has slightly worse mean breakpoint mismatch performance than that of CREST, even when the data availability is low (i.e., lower coverage levels).

Although Breakdancer can attain a mean breakpoint mismatch performance similar to that of our method for low error rates, DB outperforms it by maintaining a robust performance even for very high base calling error rates.

In contrast, the precision performance of CREST first deteriorates as we enlarge the reads, and then stabilizes around 70%. Increasing the mean value of the fragment lengths dramatically decreases the mean boundary mismatch performance of GASV, CNVer, and SVDetect, whereas DB, CREST, and Breakdancer are unaffected.

All other methods except SVDetect have stable mean boundary mismatch performances.

Depending on the amount of mismatch, the performance of the UEP allocation may be deteriorated.

In the presence of the direction of arrival (DOA) mismatch, the performance of generalized sidelobe canceller (GSC) may suffer severe degradation due to the gain loss of the desired signal in the main array and cancellation.

measures of 78.4% and 79.7% were achieved with the 6 state model for feature sets H and J. Checking the Viterbi recognition results from the training data revealed a mismatch in performance for the test data and training data, which in turn prompted a reevaluation of the video material.

Lastly, there is often a mismatch between performance on neuropsychological testing and the patient's experience of the deficits in those with mild TBI, which is the most common form of TBI (Brenner et al. 2010).