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Though collaborative filtering approaches achieves great success, there are some shortcomings.
Such a hybrid channel assignment in multi-channel approaches achieves high capacity while maintaining connectivity with neighbor ad hoc nodes using the switchable transmitting interface.
To compare the performance of different approaches when tested on negative data, we found that all approaches achieves the negative predictive value (NPV) of 100% if tested on randomized pathway data sets, further suggesting better performance of our approach at the same level of NPV.
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Both approaches achieved their aims.
Both approaches achieved comparable results.
We can see that all the three approaches achieve a throughput of 100% in all cases.
Therefore, these two approaches achieve an SLO violation balance across the ten applications.
While all the approaches achieved the performance goal for false alarm rate, they failed to achieve the detection rate goal.
Our results show that both centrality modeling approaches achieved overall comparable performance, illustrating different advantages in terms of different metrics.
Although both approaches achieved similar results, their basic assumptions are quite different.
Meanwhile, on average, single feature-based approaches achieve an AUC of 0.61.
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CEO of Professional Science Editing for Scientists @ prosciediting.com