That means our method is 25 times faster than the MM method.
Furthermore, the use of the marginal likelihood means our method inherits the ease with which side information can be incorporated in probabilistic models.
The performance comparison between our method with the other three methods in Table 1 shows that time-delayed ND has significantly higher F-measure than all other methods, which means our method can infer time-delayed GRN more accurately.
We can see that the proposed results showed high sensitivities but low precisions on both data sets, which means our method can correctly preserve most true significant SNPs, but with a large amount of false positive reports.
In our experiments, the performances of our machine learning based AB and BC models are much better than that of SemRep which means our method can return more effective linking terms and, therefore, it may help find more potential principles in hypothesis generation.
As Science Editor-in-Chief Marcia McNutt points out, it is "timehonored" and the "gold standard" ("Improving scientific communication," Editorial, 4 October, p. 13), but that doesn't mean our methods of evaluation can't and shouldn't be improved.
While this is the end goal of many people of any gender on Tinder, that doesn't mean our methods are the same.
Through these means, our method can effectively attenuate low-frequency random and coherent noise while simultaneously protect the signal.
It means our proposed method is capable for capturing objects which are difficult to segment.
Our use of qualitative methods means our findings cannot be claimed as generalisable, and our focus on the Australian setting somewhat limits its relevance to other developed nations, particularly those where HIV medications are relatively accessible and affordable.
