Sentence examples for sequential divergence from inspiring English sources

Hence, in addition to sequential divergence, domain combination is another major mechanism of increasing the complexity of a proteome [28].

SNPs in rpoB, for instance, demarcate the sequential divergence of sublineages within M. africanum West African-2 [ 7].

N2 appears to share the same gene order with T2; however, some inversions between Nicotiana and tomato may have not been identified because multiple sequential rearrangements after their divergence may have greatly shuffled the marker order.

Without initialization, we observe that parallel updates (blue) converge to a higher energy and KL-divergence than the sequential approach (green).

Sequential experimental design, based on the divergence criterion and tools from computational statistics such as the deviance information criterion estimated by a Markov Chain Monte Carlo technique, were used to discriminate among 12 possible kinetic models.

Modeling and analysis of security protocols with communication sequential process (CSP) [12] and failure-divergence refinement (FDR) [13] have been proven to be effective in discovering attacks in many protocols such as [14 16].

It is interesting to see that SGM-initialized parallel updates perform better than the sequential approach in terms of the KL-divergence (Fig. 6 (right)).

The difference between operational and design speed considered in parallel with the divergence of operational speed between two sequential road design elements ('straightway-curve' or 'curve-curve') derives to characterization of road design quality in terms of safety and comfort.

Initializing the distribution before parallel updates (red) using SGM (Section 4.3) leads to convergence to a lower energy and KL-divergence, closing the gap to the sequential approach.

The difference between operational and design speed considered in parallel with the divergence of the operational speed between two sequential road design elements ('straightway-curve' or 'curve-curve') derives to the characterization of road design quality in terms of safety and comfort.

Although the sequential iteration is guaranteed to converge and minimize the KL-divergence, its result is biased with respect to the chosen update sequence due to the nature of the mean-field approximation (i.e., the result depends on the order in which variables are updated).