Sentence examples for categorization in conjunction with from inspiring English sources

Exact(3)

However, the normative force does then not derive from the categorization itself, but from the categorization in conjunction with the relevant norm (c.f Glüer&Wikforss 2009, 469).

We analyzed the results of the memory task as the accuracy of categorization in conjunction with correct recognition of old partners.

To explore whether people better remember cheaters or the rare partner type, we varied the proportion of defectors and cooperators (represented by Tit-For-Tat partners) in the interaction group in a between-subjects design and tested whether a cheater-memory or a rarity strategy matched the accuracy rates of partner categorization in conjunction with correct recognition better.

Similar(57)

First, whereas Barclay investigated the cheater-memory and rarity strategy in the categorization accuracy independent of correct recognition, we calculated the categorization accuracy in conjunction with correct recognition of old partners, because we consider this a necessary requirement for partner categorization in everyday life.

Compared to other studies collecting categorization accuracy in conjunction with correct recognition of old partners, our conjunction-categorization rates from the second session after 1 week exceed the rates from studies with retention interval of several minutes by 10 47% (Table S1).

Compared to other studies collecting categorization accuracy in conjunction with correct recognition of old partners (Barclay, personal communication; [20], [22]), our conjunction-categorization rates exceed the rates of these studies by 8 68% (Table S1).

This means that the relation between categorization rates (in conjunction with correct recognition) and chance levels used to correct these rates must be similar.

We looked for the cheater-memory and rarity strategy in the categorization accuracy in conjunction with correct recognition of old partners, because also in everyday life one must do both correctly recognize and correctly categorize to sufficiently identify a partner.

So, our method constitutes categorization accuracy in conjunction with correct recognition of old partners, a chance level of the perceived proportion of partner types among old and new partners recognized as old, and the correction for chance performance by taking the simple difference between accuracy and chance level.

The details of these mechanisms were studied by monitoring acoustic emission (AE) in conjunction with a novel signal categorization technique in Mg alloy ZK60.

In [28] Schultz et al. proposed a hashtag-based categorization approach in order to test the applicability of several machine learning techniques in conjunction with relevant feature selection algorithms for the text categorization problem.

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