Credal networks and compositional models: preliminary considerations
In the paper we present basic concepts concerning credal networks and compositional models for credal sets and describe the problem of imprecision increase in the first type of these ...
Vejnarová, Jiřina
core
Inter-Domain Fusion for Enhanced Intrusion Detection in Power Systems: An Evidence Theoretic and Meta-Heuristic Approach. [PDF]
Sahu A, Davis K.
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Set-Based Variational Methods in Credal Networks: the SV2U Algorithm
. Graphical models that represent uncertainty through sets of probability measures are often referred to as credal networks. Polynomial-time exact inference methods are available only for polytree-structured binary credal networks.
Fabio Gagliardi Cozman +2 more
core
Impact on place of death in cancer patients: a causal exploration in southern Switzerland. [PDF]
Kern H +7 more
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"This Is What We Don't Know": Treating Epistemic Uncertainty in Bayesian Networks for Risk Assessment. [PDF]
Sahlin U, Helle I, Perepolkin D.
europepmc +1 more source
This paper presents a new algorithm for approximate inference in credal networks (that is, models based on directed acyclic graphs and interval-valued probabilities).
Pang Zhou, Ying Qu
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Credal Valuation Networks for Machine Reasoning Under Uncertainty
16 pages, 3 ...
Branko Ristic 0001 +2 more
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Approximate Inference in Credal Networks by Variational Mean Field Methods
Graph-theoretical representations for sets of probability measures (credal networks) generally display high complexity, and approximate inference seems to be a natural solution for large networks.
core
Comparing Binary and Standard Probability Trees in Credal Networks Inference [PDF]
This paper proposes the use of Binary Probability Trees in the propagation of credal networks. Standard and binary probability trees are suitable data structures for representing potentials because they allow to control the accuracy of inference ...
Serafín Moral +3 more
core
Evaluating factors contributing to the failure of information system in the banking industry. [PDF]
Ali SM +4 more
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