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Namely, the localization performance can be improved using the second-step solution since it adopts the error distribution of the first-step estimate.
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If Hamming metric is adopted, the error will spread.
Somatic cells mostly adopt the error prone non-homologous end joining (NHEJ) pathway to repair DNA damage [39].
For comparison, the EKF algorithm adopts the measurement error distribution as Gaussian distribution N 1,4).
We first adopted the mean error rate (MER) and the mean-weighted error rate (MWER) [19], for the evaluation.
To demonstrate the effectiveness of this method, we will adopt the same error definition as [20].
For non-coherent networks, if the subspace distance is adopted, the propagated error will not be polluted 100% of the received packets which is better than Hamming distance.
We adopt the solution error measure ((f(x) - f(x*))), where f(x) is the best solution obtained by algorithms in one run and (f(x*)) is well-known global optimum of each benchmark function, which is recorded after 1.2e05, 6.0e05, and 3.0e06 function evaluations (FEs) for CEC'2010 and 5.0e03*D function evaluations (FEs) for CEC'2008, respectively.
A binomial distribution was adopted as the error distribution with a logit link function.
A Poisson distribution was adopted as the error distribution with a log-link function.
We adopt the mean square error (MSE) for integrals of bounded real functions, text{MSE} equiv Eleft[ left left f,pi_{t}^{Mtimes N}right) - (f,pi_{t}) right)^{2} right], quad f in B({mathcal X}), as a performance metric.
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