The danger of building back doors like that, for example the Bullrun program where the NSA and GCHQ were shown to be collaborating and weakening the encryption standards that the entire internet relies on, means that when you're accessing your bank account online there could be a secret weakness there that allows our western governments' security services to monitor your bank details.
Starving these sports of the kind of funding dollars they used to rely on means we're less likely to see a spread of Australian Olympic success at Rio, but it also means there will probably be more medals to enjoy in the sports at which Australia is traditionally strongest.
As a result, 69% of women aged between 65 and 69 receive less than the full basic state pension, compared with only 15% of men, forcing women to rely on means tested benefits in retirement to a greater extent than men.
In parallel, these algorithms rely on mean and standard deviation of resource utilization that gives an indication of future load of a VM which also can be an approach independently for overload detection [15].
Within the framework designed for obfuscating Android applications, we implement the "Naïve Bayesian Classifier" algorithm for the optimized obfuscation of the software complexity and the performance, and show that it outperforms the algorithm whose predictions rely on mean values.
When information is available from individual patients in a trial we do not have to rely on mean values.
Lidar-based biomass estimates that rely on mean canopy height may be particularly sensitive to height biases from sampling issues that influence the accuracy of the DTM.
These findings illustrate how approaches that rely on mean canopy height to estimate aboveground biomass are sensitive to DTM errors that arise from variability in lidar sampling density.
We accounted for this in a calibration step: In deriving the array-based measurements we relied on mean zero, standard deviation one (scaled and centered) values for constructing the risk indexes that comprise the Patient-Specific Risk Profile (PSRP).
Thus, overall, the classifier relying on mean firing rate was the least accurate and the one relying on trajectories the most effective for distinction between the stimuli.
