Sentence examples for a weight factor based on from inspiring English sources

The phrase "a weight factor based on" is correct and usable in written English.
It can be used when discussing a variable or parameter that influences a calculation or decision, often in contexts like statistics, data analysis, or machine learning.
Example: "The model incorporates a weight factor based on the importance of each feature in predicting the outcome."
Alternatives: "a weighting criterion derived from" or "a weighted measure determined by".

Exact(2)

All nodes and edges have a weight factor based on the detection and tracking results.

This method was developed at Statistics Canada (Carson, 2002) and uses a weight factor based on the '40/30' rule.

Similar(58)

The amount of artificial dissipation was locally adjusted using a weighting factor based on the solution gradient.

To reduce the consumption amounts of high quality source streams, each source stream is assigned a weighting factor based on the quality of the sources.

The various rock types were given a weighting factor based on their suitability for groundwater occurrence.

The first feature vector has 84 elements and contains the mean and standard deviation of curvelet blocks at each angle together with a weighting factor based on the spatial support of the curvelet coefficients.

In order to account for potential selection bias, a weighting factor based on the distribution of age and sex has been included in all analyses to ensure representativeness.

For each year, we determined the combined human population of the responding countries using WHO health statistics (WHO 2010b) and divided the resulting value by the total population of all 143 targeted countries to derive a weighting factor based on the proportion of the targeted population with available data.

It was found that the activation energies of Case I and Case II transport of mixture are equal to the summation of the corresponding quantities for methanol and ethanol with each weight factor based on the respective volume fraction.

Proximity to major roads, incorporating a temporal weighting factor based on Canadian mobile-source emission estimates, was used to estimate exposure to vehicle emissions.

The new components in I-TASSER include: (i) the new neural network hydrophobic potential as described in equation 3 in the Methods section and the decoy-based reparameterization of all weight-factors based on target categories; (ii) the development of the new PPA threading program, which provides different assembly fragments and restraints; and (iii) the two-step iterative refinement simulations.

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