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Since the propensity score model is evaluating the probability of being selected into NHANES-III given a set of covariate values, we did not apply sample weights to this model.

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The performance of the model is evaluated using the proportion of the deleted edges that it correctly placed.

The model is evaluated by experimental, analytical and numerical evidence.

In addition, adequacy of the nonlinear model is evaluated.

Our model is evaluated on Million Chinese Hotel Review dataset.

A general thermal model is evaluated for present test rig.

Performance of the model is evaluated using TAIEX dataset.

The model is evaluated in both simulation and physical robots.

The discrete reference model is evaluated with M=1000 fibers.

6, the consumer surplus model is evaluated empirically.

Firstly, the performance of the single-channel model is evaluated and then the performance of the fusion model is evaluated.

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