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Nonetheless, the performance of the optimal groups was never much better than the a priori groupings; for this reason, we believe that the a priori groupings are representative of their physiological systems and we used these a priori groupings in subsequent analyses.
The main emphasis is on searching for optimal operations within groups of (verb) functions and optimal groups of subobjects or morphemes within (noun) objects.
Note that the CUG scheme performs close to the much more complex GUG algorithm both for the near sum rate optimal groups, comparing GUG-BR with BR-CUG and for the 'fair' user groups, comparing GUG-PF with SB-CUG.
All studies used different cut-off points for grouping HbA1c into poor and optimal groups, varying from 5.6%to10.1%1%.
It is characterized by a fitness function in which a co-evolutionary learning and estimation-of-distribution algorithms are used to mine the optimal groups of miRNAs and mRNAs, which give the best fitness scores in an iterative fashion.
After running the data a few times, it was found that a model selecting for 1 to 8 optimal groups was adapted to our particular dataset while minimizing the computational burden.
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The optimal grouping of queries for execution is defined as an optimization problem based on MapReduce cost model.
Optimal group size varies among organizations and their cultures.
Minimal entropy induces optimal grouping of the agents in holonic clusters.
Markham, who earned her Ph.D. at Princeton University in 2012 with Jeanne Altmann as her thesis adviser, explained that regarding optimal group sizes for highly social species the key to the analysis is how are trade-offs balanced, and do these trade-offs actually result in an optimal group size for a social species.
The procedures use the pilot sample data to estimate an "optimal" group size and then proceed to determine the number of groups by a stopping rule.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com