Sentence examples for modeling of rank from inspiring English sources

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The EA flexibility enables the modeling of rank learning in many ways, such as through ranking function discovery [5, 13, 14], weight and parameter learning [15 19], among others.

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In this study we applied a Bayesian latent variable model of rank data to the results of a battery of 11 cognitive tasks administered to 22 cotton-top tamarins.

Ziari (2016) developed an alternative method to convert the nonlinear model of ranking the DMUs using the L1 norm that has been introduced by Jahanshahloo et al. (2004).

Note: Results from mixed-effects linear regression models of rank-transformed longitudinal usage frequencies.

We assessed the robustness (consistency and discrepancy) of the models on ranking of the relative importance between the attributes and the estimates of the β coefficients within each level of the attributes.

It is consequently preferred to fit a multi-linear model of lower rank, R < rank T, fixed in advance, so that we have to deal with an approximation problem.

We next build predictive models of the rank in OO given the rank in WBC, across correlation (using linear least squares) and expression level spaces (using general least squares and PCA), after removing the ribosome-related genes.

> -wrap-foot> Table 5 shows the predicted probability (derived from the rank-ordered logistic model evaluated at the mean value of all model covariates) of ranking each alternative first for selected contrasts.

The sequences outlined in red show the top 5 sequences that can best reproduce the occurrence times of events B1 B6, and those outlined in yellow, green, and blue show modeled sequences of ranks 6 10, 11 15, and 16 20, respectively.

The mathematical model of the rank game.

(4) The mathematical model of the rank game.  .

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