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Derivation of Raw ??Values.
values of the support are smaller than the values of TFIDF, the raw values of TFIDF are some thousands times bigger than the raw values of the Support.
In the simplest approach, a query result is presented as a table of raw values.
Nevertheless, these raw values are often not sufficient to characterize the search behaviour.
As already stated, scaling is a necessary but treacherous pre-treatment of raw values.
Transformation of raw values (empirical T values, normal rank-transformed values) only partially revealed normal distribution.
In those that do, raw values of joint angles or torques are exploited to train learning algorithms.
Data are presented as means of raw values± SEM, * denotes significant difference from controls (P<0.05).
The raw values of each well were divided by the control value.
The averaged raw values from 4 replicates was used for the clutering analysis without further normalization.
The results are expressed as raw values corrected for background absorption.
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