Sentence examples for classifications reduce from inspiring English sources

Investigators might have also omitted IEGMs that were difficult to interpret; however, we deem that the large number of patients and investigators contributing episodes and their classifications reduce this potential bias.

Moreover, this is helpful statistically because classifications reduce the dimensionality of the data thus permitting one to assess effect sizes between classes rather than assessing effects associated with each potential combination of pollutant levels.

Before treatment, patient necroinflammation grading ranged between 8 and 16 and after PFD treatment, classifications reduced to 6-11 points.

Sepsis-3 classification reduced the percentage of septic shock patients as compared to the previous definition.

This effectively allows large datasets to be generated and used for classification, reducing the demand to manually produce labeled training instances.

Additionally, in small-sample classification, reducing the number of estimated parameters by using the pooled covariance estimate may lead to superior performance, even if the class covariance matrices are substantially different.

The use of dental implant as a distal abutment in class II Kennedy classification reduces all the movements of denture base and results in better healthy condition for the gingival and periodontium of the abutment tooth than when using conventional partial denture.

In the FLF and FLM data sets, both regression and classification reduced κ and RE values when α=30%.

Just as in yeast, its categorical edge classification reduces the correctness of the ranking of its clusters, giving lower precision levels.

The performance of direct concatenation is affected in this situation, with both the accuracy of clustering and classification reduced significantly (Fig.  2e and Table  1).

This difference suggests that IT may not participate in classification when categories are defined by abstract rules but might when classification reduces to visual noise removal, or to a perceptually based classification of the image.