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Our models were similar to what people are doing to predict the financial markets and voting patterns, and our paper was published in The Proceedings of the National Academy of Sciences.
The discriminative powers of two models were similar.
In practice, however, the results from the multinomial logit models were similar to those presented below.
The models were similar except for the angle of the lower incisors to the horizontal plane.
The areas under the receiver operating characteristic curves for each of the three models were similar.
The resultant force-length curves of the models were similar to the experimental data.
While the Wraparound models were similar in configuration there were also unique characteristics that developed in response to local conditions.
The experimental models and FEA models were similar and exhibited the same trends for compressed displacement based on differences in loading sites.
Temperature versus depth (or control volume number) profiles for the 63 simulated models were similar to the one presented in Figure 4 corresponding to model M55 (Table 2).
While logistic and MaxEnt models were similar in their predictive ability and dominant input variables, the ensemble approach derived the best fitting model overall.
Results indicated that error statistics of soft computing models were similar, while ANFIS models were marginally more accurate than FIS and ANNs models.
More suggestions(16)
matrices were similar
models were comparable
methodologies were similar
kinds were similar
specimens were similar
systems were similar
predictions were similar
specimen were similar
choices were similar
templates were similar
later were similar
models showed similar
models demonstrated similar
models were young
models were late
models were small
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com