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Usually the creation of silver standard corpora required a corpus harmonization in order to merge multiple predictions, in the simplest case by applying a voting scheme [13] together with various mention boundary reconciliation strategies (e.g. exact, nested, continuous similarity measure for mention alignments [13]).
Remaining variants were ranked by applying a voting system.
Furthermore, we assessed the robustness of our approach by following the above procedure while applying a voting method as the gold standard.
Similar(57)
In a second step we apply a voting to the individual predictions.
The voting score P jV in Equation (4) applies a voting system which makes use of the relative probability values of the categories by a quantification linear function g(p(w j | x i )).
When we applied a voting approach, using all our sources and resources and varying the voting threshold between 1 and 15, the best F-score was 65.3% (precision 76.6%, recall 56.9%) for a threshold of 4. We further analyzed the number of unique true positives (TPs) per entity type found by each of the systems within the ensemble system (Table 8).
For a broad spectrum of different sensitivities and specificities, we applied a voting scheme.
Then, we applied a voting system counting each of the classifiers above the cut-off +1, and each of the classifier below the cut-off -1.
To increase the accuracy of phenotypic partition, we applied a voting step to comprehensively integrate the partition results drawn from each signature pathway.
Then we applied a voting method to construct an ensemble protein-protein interaction network by integrating five existing PPI databases in human, i.e., HPRD [ 39], BIND [ 40], BioGrid [ 41], IntAct [ 42], and MINT [ 43].
For the selection of high-confidence variants for the 600 k array, we applied a voting system based on (i) their performance on the screening arrays, (ii) concordance of array genotyping calls with in silico variant calls from sequencing data of the 30 maize lines in the discovery panel, and (iii) over- or under-representation of the corresponding bin.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com