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The first is a representation model of the layout problem and the second is a search algorithm for finding the optimum or near optimum solutions.
An ontology is a representation model which defines domain knowledge with explicit specifications that feature interoperability between human and machine, thereby solving the problems of ambiguity and vagueness in knowledge sharing and reuse.
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A model is a representation of a real thing, and a model of a user is a representation of a real person.
Figure S2 is a representation of this regression model showing that renal length is inversely proportional to cystatin C when stratified by height.
Our simulation model is a representation of an SC system that includes social network users and the behavior and interactions of these users.
Our simulation model is a representation of the socio-physical IoT system that includes system entities and the behavior and interactions of those entities.
A model is a representation of the available knowledge.
Samples come directly from the group of products to be purchased, whereas a model is a representation of the product when a specific sample is unavailable.
A mental model is a representation of some domain or situation that supports understanding, reasoning, and prediction.
A mathematical model is a representation in mathematical terms of the behavior of real devices and objects.
Etymologically, a model is a representation, a pattern, an image of something, or a replica.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com