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Exact(51)
Model building is an iterative process, switching between experimental data and theory formation.
In this paper, a novel Bayesian approach to model building is presented.
In regression analysis, model building is the process of developing a probabilistic model that best describes the relationship between the dependent and independent variables.
However, for a complex SIS, the model building is so cumbersome that industrial users always try to avoid using it.
Specifically, we assume that model building is only performed using the content of a Data Subset (as in active learning).
Model building is automatically and dynamically repeated until a model that accurately captures the behavior of the process is determined.
Similar(9)
Phenix49 was used for refinement and model building was conducted in Coot50.
Model building was carried out using the program Coot [77].
Manual model building was done using Coot [61].
Subsequent model building was performed manually using O [27].
Model building was performed using O [67] and COOT [68].
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