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To answer these questions, we formatted five datasets using two data representations.
The associations between the PD values estimated from the two data representations were assessed with a linear regression and summarized with m, b, and r.
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The evaluation is indirect because the calibrated measure in the comparison is not necessarily PD and not a one-to-one comparison of the same metric such as PD derived from two data representation (that is, from calibrated and raw data).
Since there are other compared methods that are not consistent with the MI setting, we generate another three data representations, namely, D2, D3, and D4, for these methods.
A signal and an image, issued from ABR test, are used as the two initial data representations.
Extending the work of Kuncheva and Whitaker [Machine Learning 51(20032003) 181], we compare a set of diversity measures within two different data representations.
With the increased use of modern statistical programmes, the distinction between these two graphical data representation is often lost.
The CC model is capable of handling datasets with different properties by developing two data structures, a histogram representation of the pair-wise similarities and a cooperative contingency graph.
The representations of two data sets are given in Figure 7.
The proposed architecture consists of a reconfigurable multiplier, a reconfigurable adder, an accumulation unit, and two units for data representation conversion and incoming and outgoing data stream transfer.
For the smaller confirmatory bioassay datasets, two types of data representation are used in order to see if adding more information improves the classification results.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com