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Use of bootstrapping elevated the optimal model identification ability of RDBC when sample size is small.
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For a final clarification, the probability density function of the actual and predicted data from the two models was prepared to compare the pattern identification ability of both the models.
A new look at the statistical model identification.
Calculates the identification ability of a given population of neurons.
Categorical perception is tested using discrimination and identification ability.
Clearly, more work is needed on identifying, characterizing, and preventing such best model identification problems.
Model identification and model selection.
Figure 7 Nearest model identification.
This makes the model identification challenging.
The model identification was performed using the method described in "Model identification" section.
This includes methods for model quality control, data and model integration, model comparison and model identification.
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