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Kernel methods map data into a higher dimensional feature space, where the resulting structure of the classification task is linearly separable; while rough sets granulate the universe with the use of relations and employ the induced knowledge granules to approximate arbitrary concepts existing in the problem at hand.
The structure of the classification method is shown in Figure 13.
This dependence is not surprising given the hierarchical structure of the classification scheme.
The structure of the classification system GAD used to classify its diseases is not apparent.
The structure of the classification may even help the caregivers to phrase the substandard factor in an understandable way.
While this may very well be correct, it is built into the structure of the classification scheme in a way that would reduce comorbidity.
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Analysis of the data using Multidimensional Scalogram Analysis shows that the constructs age, social class and family status account for the overall structure of the classifications.
PW proposed the idea and structure of the autonomous classification and wrote the whole paper.
In the present section, the structure of the binary classification tree is proposed, while in the next section the adjustment of the thresholds is covered.
In this chapter, the structure of the suitability classification is first described.
This decision tree represents the main structure of the ICF classification [ 2].
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