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One is how to determine an appropriate feature and its threshold value for each weak classifier, and another is how to determine an appropriate weight to be used when combining the output of each weak classifier.
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Nevertheless, in classical meta-analysis, quality measures have often been used when combining results across studies.
For continuous variables (e.g. levels of inflammatory markers) weighted mean difference (WMD) with 95% confidence interval (CI) was used when combining data.
In general, slightly lower Xcorr cutoff values were used when combined with ΔCn and the mass error constraint to achieve the same level of false positive rate (<1%).
Divergently transcribed genes occur frequently in the E. coli genome (644 pairs of divergently transcribed genes), and their presence has raised the question of which orthologous data should be used when we combine p-values.
Reporter ions obtained with ETD fragmentation coincide for some tags, therefore the number of available distinct channels is reduced to three for iTRAQ 4-plex and to five for iTRAQ 8-plex; in the latter case all eight channels can be used when ETD is combined with CID of an ion at m/ z 322.2.
Based on the results obtained from mix designs it was recommended that 2% lime be added to a mix with 100% ash (at optimum moisture content), and that 1% lime be used when 75% ash is combined with 25% recycled concrete-the recycled concrete being minus 12.5 mm material.
With such critics, we have the beginnings of an intelligible debate, for we have several reasonably distinct approaches to intervention questions, and we can ask substantive questions about the strengths and weaknesses of each, and we can ask which should be used when or how they should be combined.
An error propagation method is used when we combine the standard errors from multiple sources without original data (e.g., the integration of standard errors from forward and inverse modeling methods).
Periodic boundary conditions in x and y direction were used when simulating nanovoid substrate and combined substrate.
A homogeneous feature fusion scheme is used when the feature sets to be combined are obtained by applying the same feature extraction algorithm to multiple samples of the same biometric trait (e.g., minutia sets from two impressions of the same finger).
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