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Showing 1 to 4 of 4 for “"Uncertainty (Information theory)"”.

  1. Quantifying uncertainty in reliability block diagrams

    … efforts targeting all available, high-quality information sources decrease and allow analysts to estimate uncertainty in model parameters describing driving component performance. Bayesian analysis accumulates these data into posterior distributions summarizing all available performance …

    unm Repository record for Quantifying uncertainty in reliability block diagrams (opens in a new tab)

  2. Probabilistic skylines on uncertain data

    Skyline analysis is important for multi-criteria decision making applications. The data in some of these applications are inherently uncertain due to various factors. Although a considerable amount of research has been dedicated separately to efficient skyline computation, as well as modeling …

    unsw Repository record for Probabilistic skylines on uncertain data (opens in a new tab)

  3. Topics on statistical inference with model uncertainty

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms

    uiuc Repository record for Topics on statistical inference with model uncertainty (opens in a new tab)

  4. A methodology for the selection of a paradigm of reasoning under uncertainty in expert system development

    … the selection of a paradigm of reasoning under uncertainty for the expert system developer. This is important since practical information on how to select a paradigm of reasoning under uncertainty is not generally available. The thesis explores the role of uncertainty in an expert system and …

    edithcowan Repository record for A methodology for the selection of a paradigm of reasoning under uncertainty in expert system development (opens in a new tab)