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Classification is considered as a binary task, distinguishing between 'normal' and 'abnormal' (I123 FP-CIT uptake patterns.
Some groups can be both topical and social, and therefore difficult to categorize, but for the sake of clarity and conformity with the theory we kept the categorization as a binary task.
Several hydroxyl- and ether-functionalized binary task specific ionic liquids (ILs) are prepared, ether-functionalized ILs exhibit higher conductivity and lower viscosity than those of hydroxyl-functionalized ILs, whereas hydroxyl-functionalized ILs show wider potential window than those of ether-functionalized ILs.
This calls for the intention of this research to develop an effective model to: (1) transform the binary task relationships into the quantifiable task coupling strengths; and (2) to decompose the large interdependent task group into smaller and manageable sub-groups.
In a binary task, observers were asked to indicate this offset direction.
In other words, in a binary task, observers had to judge whether the top or bottom bar was further right at the moment of the flash.
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We evaluate our results in the binary tasks with the AUROC, i.e. the area under the ROC curve [19].
This amounts to a binary classification task.
This procedure is illustrated for the four possible outcomes from a binary classification task in Fig. 2.
The SVM uses a linear separating hyper plane to produce the classifier with maximal margin, for the simplest binary classification task.
The verification network [12 14] treats person re-identification as a binary classification task, and its structure is shown in Fig. 2a.
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