Table 1: Average false positive counts on stationary Bernoulli distribution
. 0.05 0.1 0.3 0.5 DDM 1.89 0.76 0.29 0.19 EDDM 35.56 36.3 14.42 9.38 ECDD 166.34 157.3 154.01 0.11 DBDM 3.39 0.95 0.05 0.03 Table 2: Average false positive counts on sudden concept drift.
[[xi].sub.i](k) obeys the Bernoulli distribution
, so that E[[[xi].sup.i](k)] = [[alpha].sup.i] and E[[([[xi].sup.i]).sup.2](k)] = [[alpha].sup.i], i, j = 1, 2, ..., L.
Only in the scenario in which the assumption of having continuous main features (required by the approaches proposed by us) is not met at all (i.e., for the Bernoulli distribution
) do almost all correction approaches perform better than not correcting.
Even if they are similar in size and equally probable, they will follow a Bernoulli distribution
, which does not guarantee equal numbers and a uniform distribution.
Let [pi] be the Bernoulli distribution
on [S.sup.Z] defined by [pi]([s.sub.i]) [??] [p.sub.i] for all i, and let [mu] be the additive quantity defined by [mu]([s.sub.i]) [??] - log [p.sub.i].
Raghavan and Upfal  considered the model in which n users generate messages according to a Bernoulli distribution
with total generation rate up to about 1/10.
This distribution looks very different from the Bernoulli distribution
shown in Figure 1a, which has the same mean.
The cell survival is sampled from a Bernoulli distribution
where the probability for a given cell to survive is described by the LQ model:
The packet dropouts would be described as a binary sequence which is subject to a Bernoulli distribution
taking the value of one or zero with certain probability.
with parameter p [member of] (0, 1), Bern(p).