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We found that altering the number of classification states in both the fuzzy logic and probability models can influence which networks are predicted by both models.
From the experiments, it can be found that to consider all the five datasets, the number of classification features after selection drops to 35% and the accurate classification rate increases about 14%.
The number of classification trees was set at 500.k.
This recursive partitioning continues until the number of classification errors cannot be further reduced.
In addition, when the number of classification objects increase, the time consumption would increase quadratic.
GEFeS aims to reduce the number of classification errors, which produces an optimal/near-optimal feature mask.
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The number of classifications was reduced to 16 when Chrysler opened its new plant north of the city in Stirling Heights.
p c : the number of classifications to perform for each detection.
The transformed dataflow graph, after application of clustering and after statically fixing the number of classifications, is illustrated in Fig. 3.
In the transformed graph, we also modify the functionality so that the number of classifications per detection interval is statically fixed (using the parameter p c ).
Based on this combination of dataflow graph analysis and experimentation, we converted the number of classifications to a statically fixed parameter (p c ).
More suggestions(15)
the number of rating
the number of compilation
the number of grade
the proportion of classification
the availability of classification
the number of grading
the number of classes
the outcomes of classification
the number of classifications
the number of listing
the number of categories
the performance of classification
the quality of classification
the basis of classification
the development of classification
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