Sentence examples for modeling perceptions from inspiring English sources

Exact(1)

Items were grouped together based on substantive considerations to determine if they functioned differentially due to racial/ethnic group differences in role modeling, perceptions of opportunities/barriers, familiarity with activities, and cultural expectations, as opposed to true racial/ethnic group differences in interests.

Similar(59)

This important research initiative succeeded in modeling perception and aspects of language and concepts.

It includes a combination of models, perceptions, and learning of patterns with precedents (Saba and Rehman 2012; Norouzi et al. 2014).

In the integrated model, perceptions of product attributes were independent determinants of beliefs, but evaluations were not independent determinants of Intention to Use.

In this case, if the association between child adiposity and maternal feeding style is reduced when maternal weight perception or concern is added into the regression model, perceptions and concerns are implicated as mediators.

The retention and alteration of features (as opposed to deletion or new feature creation) is also shown to be positively correlated with model perception ratings.

Process Works is, on one hand, a language for describing the process control knowledge: physical and empirical models, perception and pattern recognition, reasoning and recommending actions.

Also we did not use Fuzzy Sets to model the internal structure of categories [16], [41] or to model perception and judgment processes [42], [43].

In the original MHP model, perception has been proposed to take 100 ms (with a range of 50 200 ms, depending on the task).

In the model, perception of the synaesthetic colour and binding of the colour to the grapheme are modelled as separate processes; for the former, colour areas in fusiform gyrus are deemed crucial, for the latter the parietal cortex.

Over time or trials, the response model has the form of a state-space model (e.g., [9]), with two components: (i) an evolution function that models perception and learning through surprise minimization and (ii) an observation function that models decision making through risk minimization.

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