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Graphical models for imprecise probabilities

descriptionPublicationkeyboard_double_arrow_right Article 01 Jun 2005 English Publisher:Elsevier BVJournal:International Journal of Approximate Reasoning, volume 39, pages 167-184 (issn: 0888-613X, Copyright policy )
Authors: Fabio Gagliardi Cozman;

doi: 10.1016/j.ijar.2004.10.003

Graphical models for imprecise probabilities

Abstract

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Keywords

Credal networks, Imprecise probabilities, Artificial Intelligence, Applied Mathematics, Sets of probability distributions, Graphical models, Reasoning under uncertainty in the context of artificial intelligence, Software, Theoretical Computer Science

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
71
Top 10%
Top 10%
Top 10%
hybrid
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