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Explaining Query Answers in Probabilistic Databases
Probabilistic databases have emerged as an extension of relational databases that can handle uncertain data under possible worlds semantics. Although the problems of creating effective means of probabilistic data representation ...
Mathematical decomposition technique applied to the probabilistic power flow problem
(2011-05-31)
In this paper a framework based on the decomposition of the first-order optimality conditions is described and applied to solve the Probabilistic Power Flow (PPF) problem in a coordinated but decentralized way in the context ...
Complexity of inferences in polytree-shaped semi-qualitative probabilistic networks
(Bellevue, 2013-12-04)
Semi-qualitative probabilistic networks (SQPNs) merge two important graphical model formalisms: Bayesian networks and qualitative probabilistic networks. They provade a very Complexity of inferences in polytree-shaped ...
Multiple Fault Diagnosis in Electrical Power Systems with Dynamic Load Changes Using Probabilistic Neural Networks
(Revista Computación y Sistemas; Vol. 14 No.1, 2010-09-30)
Abstract. Power systems monitoring is particularly challenging due to the presence of dynamic load changes in normal operation mode of network nodes, as well as the presence of both continuous and discrete variables, noisy ...
A Pairwise Probabilistic Framework To Infer Functional Gene Networks And Identify Key Genes In Response To Perturbations
(2017)
It is second nature nowadays to use changes in gene expression to identify relevant genes in response to a perturbation or in a developmental transition. However, many key genes for an organism’s response are not regulated ...
A Pairwise Probabilistic Framework To Infer Functional Gene Networks And Identify Key Genes In Response To Perturbations
(2017)
It is second nature nowadays to use changes in gene expression to identify relevant genes in
response to a perturbation or in a developmental transition. However, many key genes for an
organism’s response are not regulated ...
A general SOS theory for the specification of probabilistic transition systems
(Academic Press Inc Elsevier Science, 2016-03)
This article focuses on the formalization of the structured operational semantics approach for languages with primitives that introduce probabilistic and non-deterministic behavior. We define a general theoretic framework ...
Lost in Translation: Unknowable propositions in probabilistic frameworks
(Springer, 2015-09)
Some propositions are structurally unknowable for certain agents. Let me call them ‘Moorean propositions’. The structural unknowability of Moorean propositions is normally taken to pave the way towards proving a familiar ...
Belief Revision in Structured Probabilistic Argumentation
(Springer, 2014-12)
In real-world applications, knowledge bases consisting of all the information at hand for a specific domain, along with the current state of affairs, are bound to contain contradictory data coming from different sources, ...