Results 11 to 20 of about 2,142,393 (151)
Credal Sum-Product Networks. [PDF]
, 2017 Sum-product networks are a relatively new and increasingly popular class of (precise) probabilistic graphical models that allow for marginal inference with polynomial effort. As with other probabilistic models, sum-product networks are often learned from data and used to perform classification.
Maua, Denis Deratani +3 more
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Local Computation in Credal Networks [PDF]
, 2004 The goal of this contribution is to discuss local computation in credal networks — graphical models that can represent imprecise and indeterminate probability values. We analyze the inference problem in credal networks, discuss how inference algorithms can benefit from local computation, and suggest that local computation can be particularly important ...
Cozman, Fabio Gagliardi +1 more
core +6 more sources
Pseudo Credal Networks for Inference With Probability Intervals [PDF]
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 2019 Abstract The computation of the inference corresponds to an NP-hard problem even for a single connected credal network. The novel concept of pseudo networks is proposed as an alternative to reduce the computational cost of probabilistic inference in credal networks and overcome the computational cost of existing methods.
Estrada-Lugo, Hector Diego +3 more
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Exploiting Bayesian Network Sensitivity Functions for Inference in Credal Networks [PDF]
, 2016 A Bayesian network is a concise representation of a joint probability distribution, which can be used to compute any probability of interest for the represented distribution. Credal networks were introduced to cope with the inevitable inaccuracies in the parametrisation of such a network.
Janneke H. Bolt +2 more
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Towards conservative inference in credal networks using belief functions: the case of credal chains [PDF]
CoRRThis paper explores belief inference in credal networks using Dempster-Shafer theory. By building on previous work, we propose a novel framework for propagating uncertainty through a subclass of credal networks, namely chains. The proposed approach efficiently yields conservative intervals through belief and plausibility functions, combining ...
Sangalli, Marco +2 more
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Reintroducing Credal Networks under Epistemic Irrelevance. [PDF]
, 2016 A credal network under epistemic irrelevance is a generalised version of a Bayesian network that loosens its two main building blocks. On the one hand, the local probabilities do not have to be specified exactly. On the other hand, the assumptions of independence do not have to hold exactly.
De Bock, Jasper
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Markov Conditions and Factorization in Logical Credal Networks
CoRR, 2023 We examine the recently proposed language of Logical Credal Networks, in particular investigating the consequences of various Markov conditions. We introduce the notion of structure for a Logical Credal Network and show that a structure without directed cycles leads to a well-known factorization result. For networks with directed cycles, we analyze the
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A New Score for Adaptive Tests in Bayesian and Credal Networks [PDF]
, 2021 A test is adaptive when its sequence and number of questions is dynamically tuned on the basis of the estimated skills of the taker. Graphical models, such as Bayesian networks, are used for adaptive tests as they allow to model the uncertainty about the questions and the skills in an explainable fashion, especially when coping with multiple skills.
Alessandro Antonucci 0001 +3 more
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Approximating Credal Network Inferences by Linear Programming [PDF]
, 2013 An algorithm for approximate credal network updating is presented. The problem in its general formulation is a multilinear optimization task, which can be linearized by an appropriate rule for fixing all the local models apart from those of a single variable. This simple idea can be iterated and quickly leads to very accurate inferences.
Alessandro Antonucci 0001 +3 more
openaire +5 more sources
Theoretical and Methodological Foundations of Uncertainty Modeling in Real Estate Markets
Acta Scientiarum Polonorum. Administratio LocorumMotivation: The need to improve the accuracy and reliability of market valuation and risk assessment in real estate markets, especially under conditions of uncertainty. Aim: To integrate theoretical foundations and methodological approaches for modeling
Nonso Izuchukwu Ewurum +4 more
doaj +1 more source