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During the modeling process a pool of competing nonlinear models is generated, from which the most plausible set has to be selected, given distributed model parameters and hence distributed model prediction.
First, a set of predictive models is generated from historical data.
By exploiting layered feature ontology and ontology mapping, a uniform description for heterogeneous CAD models is generated as semantic descriptor.
As a huge number of 3D CAD models is generated each year, retrieval of 3D CAD models is becoming more and more important for achieving design reuse.
However, each of the Pure::variants models is generated in a sequence of 4-5 steps.
In this way a broad range of models is generated, including a wide range of extant item response models as well as some new ones.
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Ten models were generated with Modeller.
Initially ten homology models were generated using Modeller v9.0 [ 23] and one model was generated using SWISS-MODEL web server [ 19].
Models were generated using the Modeller software.
C3's models are generated with little human intervention.
These models were generated from a coarse 50x50x50 grid.
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