Intuitively, as link-prediction error rises, the value of a noisy network observation should decline.
Second, it is obvious that the probability of decoding error rises with the transmission rate.
The contribution of the unvoiced phonemes to the total phone error rose from 21.6%% for the reference test set to 34.2%% for the 12-kbps set.
The Cramér-Rao lower bounds are given by CRLB S ( k ) = ( F - 1 ) k, k, where k = 1,..., K + 3. aIn this article, the SNR threshold is defined as an SNR value below which the estimation error rises rapidly as the SNR decrease [[26], Section V].
Both arguments are super-arguments of the conflicting Nixon → Quaker → Dove and Nixon → Republican → Hawk.[2] Horty (1994) argues that floating conclusions are acceptable in reasoning contexts in which "the value of drawing conclusions is high relative to the costs involved if some of those conclusions turn out not to be correct" while they should be avoided "when the cost of error rises" (p. 123).
The study found that after laser ablation, the total classification error rose from around 14% to 17%.
After an initial drop in error, as the scale approached 1.0, the error rose beyond the initial error as the influence of the histology gene became too dominant.
The error rises to a maximum of 51% for the newborn right hemisphere, mostly due to the effect of the CSF pocket.
The opportunity for error rises almost geometrically with the number of deranged physiologic variables, which likely explains the higher standard deviation we observed in the simulations with the higher APACHE II scores.
It is not suitable to set the threshold level using a significance level (e.g., α = 0.05), because the probability of making at least one type I error rises rapidly as the number of tests increases when more than one correlation coefficient is tested for significance in an individual study [ 93, 94].
