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An improved evidence fusion rule that integrates the Dempster' rule and the weighted average rule is developed to synthesize multi-source conflicting evidence.
The proposed framework contains key points for condition evaluation that are driven by data, and evidence fusion is at the core of this method.
As far as we can determine, there is little evidence Fusion itself was involved in the anti-Magnitsky advocacy, even if the fruits of its research may have aided foes of the Magnitsky law.
In order to solve the problem of evidence fusion in the situation of evidence confliction, a dynamic parameter conflicting evidence combination method is proposed based on the average credibility.
All the information collected from multi sensors in the system can be described as the evidence for diagnosis so that the fault diagnosis problem can then be modeled as a problem of evidence fusion and decision.
We designed a multiple evidence fusion (MEF) algorithm for predicting ADRs.
Similar(52)
Since evidence theory has shown high efficiency in handling uncertain information, an evidence fusion-based framework for condition evaluation has been presented in this paper to improve the certainty and precision of evaluation decisions by fusing features extracted from different sources of evidence.
Thus, although the large majority of heteromeric subunit pairs show no evidence of fusion, a fusion event is far more likely to occur if it conserves the existing assembly pathway.
Thus, the three methods share an overall approach of identifying fusions based on aligning paired-end reads and detecting evidence of fusion junction.
We observe evidence for fusion in 12/39 (30.8%) coexpressed subunit pairs in which a hypothetical fusion would conserve (dis)assembly, compared to only 20/401 (5.0%) in which fusion would modify (dis)assembly (p = 3 × 10−6, Fisher's exact test).
However one study using simultaneous auditory-visual stimuli [32] did not find any evidence of fusion, and another [29] used non-simultaneous auditory and visual stimuli, and did find auditory-visual fusion.
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