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Evidence functions must meet certain conditions, but these are discussed a bit later.
More details about the textual sources of evidence, functions and terminals used in this work can be found in Sects.
Some conditions must still be placed on evidence functions, and the constant specification must also be brought into the picture.
Basically, the framework distinguishes between 'evidence functions', which characterize the net impact of knowledge bases for purposes of diagnosis, and 'notions of diagnosis', which define how evidence functions are to be used to map findings observed for a problem case to diagnostic solutions.
Second, a monotonicity condition on evidence functions is required: \[\mbox{If } \Gamma \mathcal{R} \Delta \mbox{ and } \Gamma\in \mathcal{E} t,X) \mbox{ then } \Delta \in \mathcal{E} t,X)\] And finally, one more evidence function condition is needed.
List of reorganized miRNAs (52 up regulated and 22 down regulated), their defined (published evidence) functions in the context of metastasis and tumor progression, corresponding number of gene targets and the miRNA→metastatsis citation index.
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The new item is \(\mathcal{E}\), an evidence function, which originated in (Mkrtychev 1997).
Second, as with \, \(\mathcal{E}\) must be a strong evidence function.
This shows that application of the evidence function improve the performance only in the case of sentence level sentiment analysis.
\(\mathcal{E}\) is an evidence function, meeting the same conditions as those for \(\mathsf{LP}\) in Section 3.3.
\(F\) holds at all worlds accessible from \ \Gamma\) and \(t\) is admissible evidence for \(F\) according to the given evidence function.
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