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Furthermore, the integration of logistics aspects also differs within the "pool" of models that consider logistic depending on model specification (e.g., the spatial scope or resolution).
Then, the entry with the highest voting will be the stage assigned by the ensemble of the pool of models.
We then present the various machine learning methods used to create a big pool of models in Section 2.2.
These results demonstrate MULTICOM's ability to rank a large pool of models for selecting top one or five models.
Taking a pool of models as an input, it first filters out illegal characters and chain-break characters in their corresponding PDB files.
The multi-model quality prediction methods generally perform better than the single-model quality prediction methods given the pool of models is sampled by independent structure predictors.
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The validation samples were returned to the pool of modeling samples and the residual spatial autocorrelation was estimated.
Therefore, model-based experimental design (e.g. optimal stimulus or additional experimental readout selection) is used to generate experiments that yield optimal experimental data to (i) reduce the spread in the model parameters (=optimal parameter identification) and/or (ii) reduce the pool of plausible models (=optimal model discrimination).
From the pool of generated models, the lowest-energy model was chosen as the best one for the blocked and closed states.
From this model, we formed a pool of candidate models where all covariates and interactions were removed sequentially.
The monochromatic input image is processed by a cascade of different pools of model cells in V1, specifically simple, complex, end-stop, and bipole cells.
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