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This way, the value pm for a mobile object m will mostly consider the probability values for attribute groups with higher reliability, using the values that can be trusted the most.
There are several strategies of handling missing data, for example delete all instances where there is at least one missing value, replacing missing attribute values by the attribute mean, or estimating each of the missing values using the values that are present in the dataset (interpolation) [6].
Most variables were analyzed using the values that were actually collected, but the levels of some multinomial variables (e.g. region) were collapsed to facilitate the construction of stable models.
Using the values that you input into the calculator, it works out your BMI as well as where you are in relation to the rest of the population in your country and the world for your gender and age.
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At the end of each super-round, each peer computes a new candidate value (s^{(r+1)}_{i}) using the value that was received most often from the Gradecasts with a confidence of as least 1.
In the work of Adler et al. [55], nodes re-calculate the appropriate value for their active contention timers after each DCF interframe space (DIFS), instead of using the value that was stored when the medium was sensed busy before.
However, this would become impractical in the structured case, and a more efficient way to find the MLE is with an EM algorithm, where, at each iteration, we update the estimate of s using the value that maximizes the expected log-likelihood under the posterior distribution on the hidden variables f t, conditional on the previous estimate of s.
The algorithms being compared are of different nature and care has been taken to use the values that give optimum performance of the algorithms, being compared.
Because this procedure for determining ki from mi rests on the same assumptions used to determine gi from mi, instead of using our original estimates of the moduli mi, we can use the values that we found when we optimized the moduli to yield the best fit to the peri-step data with the generalized QLV model.
And then it also uses the value that's already in RSI.
For the data-derived correction factor, we used the value that was determined in the Wernicke et al. study [ 11] by repeated ECG assessments of 2288 children and adolescents with ADHD.
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