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Context attributes can be modeled as a dimension in a vector space.
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Some quality attributes can be modelled using software components, and are normally known as Functional Quality Attributes (FQAs).
Road safety trends can be attributed to various parameters, some of which can be modeled explicitly, while others may be handled indirectly.
We present a methodology based on discrete volumetric harmonic functions to parameterize a volumetric model in a way that it can be used to fit a single trivariate B-spline to data so that simulation attributes can also be modeled.
Topographic attributes can be computed from digital elevation models (DEMs) or digital terrain models (DTMs), and are critical in determining patterns in hydrological processes and identifying drainage networks in watersheds because they define the concentrated flow paths along hillslopes and upstream contributing area (Green et al., 2007).
Therefore, by gathering stated choice data using a DCE questionnaire with a known statistical design and by knowing attributes and levels presented in each choice task, the coefficients of attributes can be estimated using generalized linear models.
The learners were modeled in a way so that the learning material attributes can be considered.
Multivariate partial least square (PLS) regression allows the modeling of multiple responses, while dealing with multicollinearity. 1 It can be used for variable selection, as a process to discover the most relevant features of the model (these attributes can be used as biomarker candidates).
An exclusive prediction of the paired-attribute model is that an illusory object with three or more attributes can be perceived through erroneous integration of paired attributes.
Attributes can be just about anything.
Such attributes can be neglected.
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