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The training and test sets for these classification experiments were taken as given in the guidelines to the INTERSPEECH 2009 Emotion Challenge [45].
For these classification purposes, a VE cyber-recruitment message is any message that attempts to persuade the reader to join a violent extremist organization.
However, the problem of error estimation for these classification rules, particularly for bagging under the small-sample settings prevalent in genomics and proteomics, is not well understood.
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The patient demographics for each of these classification systems are summarized in Table 1 and the alignment between these systems is described in Table 2.
Our secondary objective was to compare the performance of linear discriminant analysis (LDA) with non-parametric classification and regression trees (CART) for these classifications.
To deal with this problem, we classified sites, lots, and technicians according to whether their observed false positive rates were ≤0.5%, >0.5% and <1.0%, or ≥1.0%, representing acceptable, borderline, and clearly unacceptable rates, and then controlled for these classifications.
The criteria for these classifications are listed in Table 1.
However, the cut-off points for these classifications vary and sometimes modified scores are used.
Only nine of the 56 parameters were required for these classifications (Table 4).
The cut-off points for these classifications were data-driven, and we aimed at obtaining groups with similar sizes.
Most of the data for these classifications come from animal studies, although evidence for carcinogenic effects in humans is accumulating from occupational and nonoccupational exposure studies [ Agency for Toxic Substances and Disease Registry (ATSDR) 2000 , 2002.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com