Sentence examples for intervals is expected from inspiring English sources

Exact(2)

It should be noted that this random search is practical because the number of the sampling intervals is expected to be less than 10.

The number of intervals The result of the number of intervals is expected to be a small number as a large number of intervals may cause the learning to be slow and ineffective [7, 19], and the small number of intervals is easier to understand.

Similar(58)

Because the slowest process determines length of the coherence intervals, the intervals are expected to have an extreme value distribution.

The mean recombination frequency in intervals separating the 63 markers was 8.7percentt, so pairs of adjacent intervals were expected to have crossover events only once or twice among 234 BC1 hybrids.

In addition, because the slowest interval is an extreme value in a random sample, coherence intervals are expected to have an extreme value distribution (Coles and Tawn 1991; Kotz and Nadarajah 2000).

In addition, the number of crossovers in two intervals was expected to decline as the number of marker intervals separating crossovers increased, whereas the observed number of double crossovers increased with separation of crossover events.

Particularly in states such as deep sleep, when the cortex displays δ-oscillations (0.5 2 Hz), long inter-spike intervals are expected to match the average durations of the integration intervals measured in vitro.

Longer injection intervals are expected to improve health-related quality of life by minimising the frequency of exposure to deep intramuscular injection pain and the psychological distress associated with the general fear of injections.

Therefore, the control performance for the next learning interval is expected to improve.

The CEN3 interval is expected to behave differently by nature of it being highly heterochromatic, as discussed earlier.

Due to the guarantee of obtaining the global maximum of the CRFs, the n-confidence interval is expected to contain all values p(+∣ x, M+) of all real positive data objects.

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