Exact(15)
Under optimum conditions, the shelling efficiency for the four size classes was determined as 81.0, 83.7, 83.7, and 84.6%, respectively.
After producing complete land use maps, the total coverage of different classes was determined.
The fibers were binned into classes according to their diameter (d, µm): class 10 = d < 10, class 30 = 10 > d < 30, class 50 = 30 > d < 50 and class 60 = d ≥ 50, and white muscle fibers frequency in different diameter classes was determined.
The sex of the different size classes was determined, not from the skulls, but from the pelvic bones.
For inference, data were clustered using a mixture model [48] with a mixture of beta distributions [49], and the number of classes was determined by Bayesian information criterion (BIC) [50], [51].
In addition, the number of individuals falling into one of several specific phenotype classes was determined.
Similar(45)
It is often referred to as supervised learning because the classes are determined before examining the data.
By comparing the measured load in various ice conditions with the serviceability limit state of the structures, the limiting ice thickness for various ice classes is determined.
The permanent deformations of ice-strengthened shell structures for various ice classes is determined using MT Uikku as the typical size of a vessel navigating in ice.
Sub-optimality for these classes is determined by a series of "undesirableCharacteristicEffect" that can be quantified.
After major classes were determined, some utility classes were created to help present primary classes, of which a single class is insufficient to present the hierarchical behavior.
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