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For the most part, the tools use CPU speed, as well as the number of available cores and RAM to determine the "year class" of a given device.
In the following section, we describe how to decide the class of a given input after obtaining its sparse representation.
Hence, in vitro growth can reliably predict the virulence class of a given mutant in flies but not mice.
Denote f c i MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaacqWGMbGzdaqhaaWcbaGaem4yamgabaGaemyAaKgaaaaa@30D8@ is the relative fecundity of a male belonging to the cth class of a given trait i.
In order to reduce the number of observations needed for quantification of the association probabilities, in Berríos et al. (2010) the notion of " spermatocytes classes" was introduced, according to which the class of a given spermatocyte corresponds to the size of the biggest chromocentre fragment observed.
The NearestTemplatePrediction algorithm (NTP) [ 27, 28] was used to predict the class of a given sample with statistical significance (false discovery rate, FDR < 0.2) using a predefined set of markers that are specific to multiple classes (TB interface vs. TA area).
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Fig. 9 Number of classes of a given frequency first found by each criteria on R52.
However, an exception to this is when there are two age classes of a given species between which there is no vertical overlap.
According to the class affiliation of a given user, either adaptive OFDMA or FH-OFDMA is applied as multiple access scheme.
Often, the decision for the true class labels of a given data point is arguable and, for instance, based on an arbitrary threshold for some continuous measurement or based on multiple, possibly contradictory, expert labelings.
It is important to note that the disease-class probability of a given individual does not correspond to the probability of this individual actually having the disease.
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Justyna Jupowicz-Kozak
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