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The model set was tuned to the data of each patient at baseline conditions.
The model set was evaluated in 12 and 5 patients on volume and pressure support respectively.
By applying EC-PLS, a model set was developed, which consists of various models that were equivalent to the optimal model.
Only one sample from the model set was recognized incorrectly as a genuine sample.
Our final gene model set was the combination of the genes predicted by ab initio and comparative gene predictors.
The optimal number of latent factors, which were required to build a PLS-DA model for each bootstrap sample (selected with replacement from the model set), was selected based on the leave-one-out cross-validation procedure.
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By model interpolation, we mean that the target synthesis model set is a convex combination of multiple synthesis model sets.
Let the data required for training an SSS model set be D t, and for adapting a model set be D a, where we often have D a
An additive model set is used to describe the uncertainty arising from the wide range of the vehicle operating situations.
The neutral model set of a pool speaker is trained by 300 neutral utterances, and each emotional model set is also trained by 300 emotional utterances.
The number of velocity models in the model set is determined by α; the more velocity models are preserved, the greater the likelihood of obtaining reliable results.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com