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A practical problem arises when a high proportion of a too-frequent value exists in data, in which case transformation to normality that passes tests for normality may be impossible.
In practice noise exists in data.
For every multiclass SVM classifier in this paper, the number of binary SVM classifiers we need is defined as Eq. 6, the k is the number of classes exists in data set.
The similar situation also exists in data clustering and classification studies because the design concept of earlier algorithms, such as mining the patterns on-the-fly [46], mining partial patterns at different stages [47], and reducing the number of times the whole dataset is scanned [32], are therefore presented to enhance the performance of these mining algorithms.
Much variation exists in data collection around HPC delivery.
Great variability exists in data collection and coding of variables in studies on traumatic brain injury (TBI).
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Bias may exist in data that you collect for quantitative analysis in software engineering research.
However, numerous fault scenarios exist in data content, communication, analog and digital component failures, all of which can drive system behavior beyond the model context.
Related problems exist in data publishing [16], where different anonymized data sets can be combined by an adversary.
The data volumes required by worker container logically exist in data volume container and are mounted to worker container.
They exist in data.
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