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International Journal of Approximate Reasoning
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International Journal of Approximate Reasoning
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Approximate inference in Bayesian networks using binary probability trees

Authors: Cano, Andrés; Gémez-Olmedo, Manuel; Moral, Serafén;

Approximate inference in Bayesian networks using binary probability trees

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Keywords

Approximate computation, Applied Mathematics, variable elimination algorithm, Deterministic algorithms, Reasoning under uncertainty in the context of artificial intelligence, probability trees, Theoretical Computer Science, Variable elimination algorithm, Probability trees, Bayesian networks inference, Artificial Intelligence, approximate computation, Software, deterministic algorithms

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selected citations
These citations are derived from selected sources.
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!
11
Average
Top 10%
Average
hybrid