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That is, in automatic model composition, an inference chain is generated which starts with the preconditions (given facts) and ends with the derived consequences (required amounts).
Quantifying how many logic statements hold for computational models vs wet-lab datasets could prove to be useful as a measure of similarlity/fitness and therefore be employed in automatic model construction and/or parameter estimation/synthesis algorithms.
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After controlling for frequency of NSSI and gender, emotional abuse was a significant predictor in the automatic model, but not in the social model, indicating that there is a unique relationship between self-reported experiences of emotional abuse and the functions that mainly refer to emotion regulation.
The execution costs of the libraries has also been captured and used in the automatic model creation.
Together with a high level security policy defined by the security administrator, this augmented functional model is then used in an automatic model transformation to generate the platform specific security policy.
Frequency of NSSI was a significant predictor in the automatic model but not for the social functions.
Input elements (geometrical or parametrical) are one of the most important things in the process of automatic model generation.
Different from other classification algorithms, GA approach has been in used for various purposes in intrusion detection as optimization, automatic model generation, and classification [48].
If not stated otherwise, we set L1= L2= … = L R. Several procedures have been proposed for automatic model selection in tensor decompositions.
Automatic model building in Buccaneer (Cowtan, 2006) was used to identify the positions of the receptor helices, leading to a cycle of model building and refinement in Coot (Emsley et al., 2010) and Buster (Bricogne et al., 2011).
This is a literature based network reconstruction that was performed in a controlled vocabulary supporting automatic model generation, but the network was never computationally analysed: The bipartite Boolean model analysis presented here is the first analysis of a model derived from this network reconstruction.
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