Pruning and measures of uncertainty
Copyright policy ) B. Forte; SEMPI, Carlo;
Pruning and measures of uncertainty
We introduce a new property, pruning, for measures of uncertainty and investigate its consequences. In particular, we derive a new characterization of the additive, subadditive and symmetric entropies without assuming expansibility. Pruning also provides a new motivation for Hartley's entropy.
- University of Salento Italy
Measures of information, entropy, Theory of questionnaires, Information theory (general), pruning, additive and subadditive entropies, Hartley's entropy
Measures of information, entropy, Theory of questionnaires, Information theory (general), pruning, additive and subadditive entropies, Hartley's entropy
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).3 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 3
Average
Top 10%
Average
bronze
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