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Can the Communion of Saints Help the Search for Justice in Dying well (Enough), "In Abraham's Arms, Where Lazarus is Poor no Longer"? [PDF]
Linacre Q, 2013 Buckley WJ.
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The Inferential Complexity of Bayesian and Credal Networks.
, 2005 This paper presents new results on the complexity of graph-theoretical models that represent probabilities (Bayesian networks) and that represent interval and set valued probabilities (credal networks). We define a new class of networks with bounded width, and introduce a new decision problem for Bayesian networks, the maximin a posteriori.
de Campos, C. P., Cozman, F. G.
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Generalized loopy 2U: A new algorithm for approximate inference in credal networks [PDF]
International Journal of Approximate Reasoning, 2010 Credal networks generalize Bayesian networks by relaxing the requirement of precision of probabilities. Credal networks are considerably more expressive than Bayesian networks, but this makes belief updating NP-hard even on polytrees.
Alessandro Antonucci +2 more
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Approximate Inference in Logical Credal Networks
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023The Logical Credal Network or LCN is a recent probabilistic logic designed for effective aggregation and reasoning over multiple sources of imprecise knowledge. An LCN specifies a set of probability distributions over all interpretations of a set of logical formulas for which marginal and conditional probability bounds on their truth values are known ...
Radu Marinescu 0002 +6 more
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Tree-Based Credal Networks for Classification
Reliable Computing, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marco Zaffalon, Enrico Fagiuoli
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2010
We have seen that in many cases it suffices to restrict attention to convex sets of probability functions, and even, in the case of objective Bayesianism, often a single probability function. This restriction will be important in what follows, since it will allow us to exploit the computational machinery of probabilistic networks—in particular credal ...
Rolf Haenni +3 more
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We have seen that in many cases it suffices to restrict attention to convex sets of probability functions, and even, in the case of objective Bayesianism, often a single probability function. This restriction will be important in what follows, since it will allow us to exploit the computational machinery of probabilistic networks—in particular credal ...
Rolf Haenni +3 more
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Thirty years of credal networks: Specification, algorithms and complexity
International Journal of Approximate Reasoning, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Denis Deratani Mauá +1 more
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Application of credal network on evaluating emergency capacity
Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology, 2011By analyzing existing evaluation method of emergency capacity, the paper pointed out the inadequacy of existing methods and gave an evaluating model on emergency capacity based on Credal Network. It better expressed the uncertainty and complexity of the system by interval probability, and taked inference and diagnosis on the system. In the end, it gave
Zonggeng Zhao +2 more
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