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The proposed model overcomes the inaccuracy issues in the current configuration-based model while retaining its simple and flexible bidding framework of configuration-based models.

In particular, a relevance vector machine is used to automatically select the most relevant terms of the model while retaining an analytical expression for the predictive distribution.

It is shown that the resulting model, while retaining simplicity of formulation, gives good predictions of the literature data of annular flow parameters under equilibrium and non-equilibrium conditions.

The coarsening approach generated a gain of two and a half orders of magnitude in terms of computational time and an order of magnitude gain in system size (equivalent to ∼ 360,000 atomistic model) while retaining the physical characteristics specific to the piezoelectric polymer.

We determined cutoffs for the continuous variables of maternal age at birth and preceding birth interval to indicate early childbearing and short intervals, respectively, so that we could maintain a sufficient sample size for analysis and maximize the statistical significance of the model, while retaining consistency with the original purpose of the variable.

A backward stepwise procedure was used, allowing only variables with a P value less than or equal to 0.10 for at least 1 category to remain in the model, while retaining age, sex, cohort, and season.

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Similar(53)

How do companies scale up their BoP models while retaining the local context necessary for their original success?

Our approach establishes a novel link between graphical representation of probability measures and tensor factorization models that allow us to design arbitrary tensor factorization models while retaining simplicity.

Still, the increasing complexity of systems has raised the need for abstraction techniques able to produce simpler versions of the models while retaining some properties of interest.

Minor aerodynamic changes allowed the −300's cruise speed to reach Mach 0.85 compared with Mach 0.84 on the −200 and −100 models, while retaining the same takeoff weight.

Backwards elimination was used to generate these models while retaining either the IHC or the mRNA predictor in the model.

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