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The annealing algorithm uses a temperature parameter simulating a cooling factor that imposes a probability to the addition of nodes that do not improve the module score and this probability decreases with each iteration until the algorithm becomes greedy.
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We now define the general dynamic space occupied by a mass point and impose a probability space on it.
Both realized that equilibrium values for quantities could be calculated by imposing a probability distribution over the microscopic dynamical states compatible with the constraints placed on the system, and identifying the observed macroscopic values with averages over quantities definable from the microscopic states using that probability distribution.
The Bayesian data reduction algorithm imposes a uniform prior probability mass function on discrete symbol probabilities.
While other aggregation methods distribute the areas into classes, in an artificial manner, by imposing a certain probability for an area to belong to a certain class, as determined by the assumption that the aggregation measure used is normally distributed, CA does not constrain the distribution of the areas by the classes.
To accomplish this, we imposed a survival probability on every new mutation.
In order to focus on windows classified with high confidence, we imposed a 95% probability cutoff for windows assigned as constrained or unconstrained, a cutoff that we show to be quite conservative in our simulation study (see above).
Probabilistic uncertainties are highly structured in the sense that the probability function imposes a systematic ordering of events.
The normalization of survival probabilities effectively imposes a density-dependent mortality that affects all phenotypes equally.
Consistent with other recent work (Lott, 1992b), the results imply that increasing the arrest rate, independent of the probability of eventual conviction, imposes a significant penalty on criminals.
On the other hand, when dealing with coded scenarios over noisy channels, it is important to point out that the data fusion problem can be regarded as a particular case of the so-called distributed joint source-channel coding of correlated sources, since the nonzero probability of sensing error imposes a spatial correlation among the data registered by the sensors.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com