The descent iterations continue until the difference between the root mean square error between the predicted ΔΔGs and the known ΔΔG [(predicted ΔΔGs− observed ΔΔGs)] of the current iteration and the previous iteration is smaller than ε.
If the sum-rate of the i th iteration is smaller than that of the (i - 1 th iteration, the algorithm stops with the result of the (i - 1 th iteration.
NRMSE of EM and Iteration is smaller than that of Averaging and Proposed, because the former assumes this interference scenario, where all interference power is equal.
The development team for this iteration was smaller than that working on Silent Hill 2, with around 40 people working on the game, made up of the core team from the second title and some newcomers.
We used a change threshold of 0.0001 for average uniqueness, which would allow us to stop the iterations sooner if the amount of change from one iteration to the next over 10 iterations is smaller than the threshold.
In this paper, a network is considered to have reached a steady state if the discrepancy between two adjacent iterations is smaller than a required threshold ϵ (by (14)) or the number of simulation iterations has reached a maximum constant value.
The amount of iterations was smaller than in experiment 1, due to the fact that in this experiment only one strong preference was inconsistent.
With respect to the values of WER, for IBP=25, we observe that the difference between the values of WER for the HD system with 2 cycles and for a min-sum BP decoder with IBP=25 iterations is smaller than 1 order of magnitude.
We assumed the update converges if the difference between scores in adjacent iterations was smaller than 1 × e−8.
First, our algorithm uses parameters trained on public data set as the starting point, which is expected to be close to the real one, and therefore, the necessary iterations are smaller than the traditional Newton method (starting from all zeros).
Average errors in the predicted masses for the first three iteration shells are smaller than those obtained with the best nuclear mass models.
