Sentence examples for aggregating methods from inspiring English sources

The phrase "aggregating methods" is correct and usable in written English.
It can be used in contexts where you are discussing techniques or approaches that combine or collect data or information from various sources.
Example: "The research paper focuses on aggregating methods to improve data analysis in large datasets."
Alternatives: "combining techniques" or "data collection methods".

Exact(4)

Figure 3 shows the cross-validated and aggregated (a) ROC and (b) pROC curves for the parameter-free similarity aggregating methods.

Furthermore, the stability and accuracy of MARS model can be improved by bootstrap aggregating methods, namely, bagging.

A lot of multi-criteria aggregating methods have been developed, many of which require appropriate criteria and weights to evaluate sustainable performance.

Although not a common procedure in LCA, it is an alternative to fully aggregating methods (R-TT).

Similar(56)

The Chinese Government has announced plans to reform provider-payment methods at public hospitals by moving from fee-for-service to prospective and aggregated methods including diagnosis-related groups (DRG) to control health expenditures.

This study shows that aggregated methods provide simple compact datasets yet give results that differ little from individual-level analyses.

Second, in the statistical methodology, we used a distance indicator instead of the standard aggregating method principal component analysis.

It has been shown that thanks to the use of Sugeno integral for aggregating different methods, a more robust measurement output is achieved.

Tissue engineering using scaffold and cell aggregate methods may also be used to produce bioengineered teeth from dissociated cells for therapeutic applications of whole tooth replacement.

Unlike aggregate methods where poor runs can be compensated for and hidden by the existence of excellent results from elsewhere, the serial and continuous nature of data inspection allows the CUSUM to detect both good and bad runs separately as they occur, providing an opportunity for corrective action.

Here we developed a thinning and aggregating (TAGGING) method as a new ensemble learning approach to QTL mapping.

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