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The behavioral dependency measure has been evaluated on a multi-version medium size open-source project called JFlex.
To address this need, we provide the behavioral dependency measure using structural and behavioral information taken from UML 2.0 design models.
Filtering techniques use an independent evaluation criterion such as distance measure, information measure, dependency measure, and consistency measure to evaluate the candidate channel subsets, which are generated using a search algorithm.
In particular, mutual information as used in Relevance Networks [10] or CLR [11] is a common dependency measure exploited in filter-kind approaches for feature selection [28].
The dependency measure reflects the proportion of events in which both associations were retrieved correctly or both incorrectly.
The most popular methods are based on mutual information which is a dependency measure that can be estimated for all pairs of genes in a gene expression dataset.
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All participating subjects had their level of nicotine dependency measured by the Fagerstrom test for nicotine dependence (FTND) questionnaire which was validated in many studies, 19, 20 the scale of which consists of six items.
Thus it seems that alcohol dependency measures are linked to number of detoxifications.
For those intervals lacking a clear dependency, measures of location were calculated overall.
Dependency measures include partial correlation coefficient [ 4], mutual information [ 5], and z-score [ 6].
Winterhalder et al. (2005) discuss dependency measures in the linear framework of autoregressive (AR) modeling.
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