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To illustrate this point, Table 2 presents the number of continuous attributes in each of the 28 datasets and the total number of attributes D-MIAT generated within each of these datasets combined with the three thresholds for conf we considered.
This depends on the product of the probability of seeing each of the m attributes in each of the distributions (2) P (f i | v j ) = w j ∏ m P (f i, m | f i ∈ c j, v j, m ) where v j is the set of distribution properties describing class j. w j is the weight or probability associated with class j.
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Furthermore the influences of these preferences and attributes in each phase of the development process will be described, as well.
The campaign, which started yesterday with an advertisement on the city's television stations, along with radio spots and outdoor advertisements, focuses on a special attribute in each of the agency's 11 hospitals and 9 other health care centers.
Therefore, we consider the total number of occurrences of attributes in each categories (Sum) which would indicate a confidence threshold.
In trial 1 for above-ground attributes measured in each of 3 years, sources of variation in the model were block (4 degrees of freedom (df)), year (2 df), PM (2 df), year × PM interaction (4 df), and residual (28 df), giving a total of 40 df.
Figure 2 shows the number of PHC attributes covered in each of the validated questionnaires examined in our study.
The optimal number of attributes in each multiattribue analysis process is tabulated vertically in order of importance (Table 1).
The independent variables were the differences between the levels of each attribute in each pair of scenarios.
Initially, we improved our approach through contrastive frequency analysis, which increased the number of attributes in each category to those shown in Table 8.
The attributes in each case would be those features of the items that are of interest for the purpose of the study [1].
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