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Under the irrational addiction model, decisions about consuming addictive substances are motivated by emotion, rather than logic.
In this model, decisions – at least in certain respects – would be basically predictable from and determined by today's knowledge including the detour of forming knowledge about the future.
Restructurable controllers are designed on-line based on the information about system states and parameters, post-fault system model, decisions for diagnosis and activation of restructurable controllers from a fault detection and diagnosis (FDD) scheme.
Therefore, according to this model, decisions are either made by system I (default) or system II (which may or may not intervene).
In this new model, decisions are not taken in isolation and take into account the best medical evidence as well as athlete performance preferences.
Using this model, decisions are made on an operative level because the capacity of the resources (ORs and surgeons) and the operations that need to be performed are known 24 hours in advance.
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Table 1 Aggregation Results of Leak Identification Model Model Decision Tree Naïve Bayes Deep Learning Original Accuracy 86 84 89 Aggregation Accuracy 100.
Compared with FINAL, the FS-ECVQ was less memory exhausting in cdf model decision.
You've said that Apple banning Flash was more a business model decision than a technology one.
The main statistical models for named-entity recognition include hidden Markov model, decision tree model, support vector machine (SVM) model, maximum entropy model, and conditional random fields model.
Regardless of the method used to parameterize the model, decision analysts seek to assess parameter uncertainty and to explore the relative influence of uncertain assumptions made.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com