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Perhaps a global or gist signal supports detection separate from location when there is weak (or no) location information in the stimulus itself.
In this paper, we propose and describe the BugMaps-Granger tool—an extension of the BugMaps tool (Hora et al. 2012)—that supports detection of causal relations between source code metrics and bugs.
The first gold standard allows us to study the automated method vs. optimal placement (we will call this "optimality"), and the second supports detection of actual errors (we will call this "correctness").
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Block-ISD method [14] is based on the iterative support detection (ISD) reconstruction algorithm [25].
The devices are suitable to support detection of humans e.g. in security and automotive safety applications.
In this section, we demonstrate the capabilities of the support detection scheme that was introduced in Section 6.
Assuming a K 0 that is much larger or smaller than the original K affects the outcome of the support detection only marginally.
Analytical tools are often not designed to be integrated with information sources and general-purpose modeling tools, and often do not support detection of problems across domains.
We find a tight link between information supporting detection and localisation, using methods that allow a stronger test of the claim that detection of a mass can occur based on gist without knowledge of location.
Evans et al. (2013) interpreted these results as evidence that the information extracted to support detection at brief durations does not contain location information but is rather based on an overall 'gist' or holistic signal.
In the study by Clos et al. (2015), however, patients were exposed to lithium for an average of 55 months, possibly too brief to support detection of effects on kidney function (Davis et al. 2015; Bocchetta et al. 2016).
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