For time-division multiplexed training, this assumption is well founded, since the post-processing noise converges to a Gaussian distribution in the asymptotic regime (see Theorem 1).
In this case, we can derive closed form expressions for the optimal training under assumptions similar to those made in Theorem 3. We therefore have the following result: Consider the optimization problem minimize P ∈ C n T × B tr I adm ( R - 1 + P ~ H S - 1 P ~ ) - 1 s.t.
After calculating mean scores for certainty, C and A´ for both intervention and control groups at baseline and immediately after the training intervention, assumptions of normality were tested (using the Shapiro-Wilk test in SPSS ver 21.0).
Hence, some people might answer that they do feel the need of additional training, under the assumption that with more training, they could carry out their current tasks better (e.g. more rapidly, less expensively) even though they already do so at an acceptable level or, in the terminology of our simple theory, they already deploy skills above min j.
As a result, medics and other medical personnel attached to military ambulances are usually put through basic military training, on the assumption that they may have to use a weapon.
The ranking auxiliar task SMLR performed training on this assumption exactly, which achieved the best R50 (0.310) and the best AUC (0.919) scores.
When we have related and unrelated individuals in the training data, this assumption may not hold, as samples from the same family may exhibit internal dependencies.
This is what we have termed the "intelligence assumption train".
The report details, in one painful anecdote after another, misjudgments that the C.I.A. and other intelligence agencies made as they put together what the committee called an "assumption train" about Iraq's nuclear, biological and chemical weapons programs.
Now the Iranians argue that the United States is riding another "assumption train," this time racing to the conclusion Iran's real goal is making a weapon, rather than seeking an alternative way to produce electricity.
