Results 81 to 90 of about 2,142,393 (151)
Risk, Trust, and Bias: Causal Regulators of Biometric-Enabled Decision Support. [PDF]
IEEE Access, 2020 Lai K +4 more
europepmc +1 more source
A generalization of credal networks
, 2009 The likelihood approach to statistics can be inter-preted as a theory of fuzzy probability. This paper presents a generalization of credal networks obtained by generalizing imprecise probabilities to fuzzy prob-abilities; that is, by additionally ...
Marco E. G. V. Cattaneo
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Towards Privacy-Aware Bayesian Networks: A Credal Approach
Bayesian networks (BN) are versatile probabilistic graphical models that enable efficient knowledge representation and inference. These models have proven effective across diverse domains, including healthcare, bioinformatics, economics, law, and image processing.
Rocchi N., Stella F., De Campos C.
openaire +3 more sources
IDS: A Divide-and-Conquer Algorithm for Inference in Polytree-Shaped Credal Networks
, 2005 A credal network is a graph-theoretic model that represents imprecision in joint probability distributions. An inference in a credal net aims at computing an interval for the probability of an event of interest.
da Rocha, J. C. F. +2 more
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ProAna Worlds: Affectivity and Echo Chambers Online. [PDF]
Topoi (Dordr), 2022 Osler L, Krueger J.
europepmc +1 more source
Learning Credal Sum-Product Networks
, 2020 Probabilistic representations, such as Bayesian and Markov networks, are fundamental to much of statistical machine learning. Thus, learning probabilistic representations directly from data is a deep challenge, the main computational bottleneck being inference that is intractable.
Levray, Amelie +1 more
openaire +1 more source
Data Consistency for Data-Driven Smart Energy Assessment. [PDF]
Front Big Data, 2021 Chicco G.
europepmc +1 more source
Machine Learning in Agriculture: A Comprehensive Updated Review. [PDF]
Sensors (Basel), 2021 Benos L +5 more
europepmc +1 more source
Deliberation and confidence change. [PDF]
Synthese, 2022 Heinzelmann N, Hartmann S.
europepmc +1 more source
Algorithms for Approximated Inference with Credal Networks [PDF]
A credal network associates convex sets of probability distributions with graph-based models. Inference with credal networks aims at determining intervals on probability measures.
de Campos, Cassio P. +2 more
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