Results 31 to 40 of about 9,690 (264)
Uncertainty Phobia and Epistemic Forbearance in a Pandemic
AbstractIn this chapter I show how challenges to our ability to tame the uncertainty of a pandemic leaves us vulnerable to uncertainty phobia. This is because, contrary to what we might hope, not all the uncertainty that matters can be tamed by our knowledge of the relevant probabilities.
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Embracing epistemic uncertainty: a risk evaluation method for pollutants in stormwater
In this study, we show that pollutants of emerging concern are, by nature, prone to the emergence of epistemic uncertainty. We also show that the current uncertainty quantification methods used for pollutant modelling rely almost exclusively on parameter
Vincent Pons +5 more
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Seismic Risk of Infrastructure Systems with Treatment of and Sensitivity to Epistemic Uncertainty
Modern society’s very existence is tied to the proper and reliable functioning of its Critical Infrastructure (CI) systems. In the seismic risk assessment of an infrastructure, taking into account all the relevant uncertainties affecting the problem is ...
Francesco Cavalieri, Paolo Franchin
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This article investigates uncertainty analysis for system with aleatory and epistemic uncertainties and defines a sensitivity analysis indicator to measure the effect of imprecise parameter with epistemic uncertainty on system output, and an efficient ...
Shun Li, Zhang-Chun Tang
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Rethinking Aleatoric and Epistemic Uncertainty
Published at ICML ...
Bickford Smith, F +5 more
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UbiQTree: Uncertainty quantification in XAI with tree ensembles
Summary: Explainable artificial intelligence (XAI) techniques, particularly Shapley additive explanations (SHAP), are essential for interpreting ensemble tree-based models in critical areas such as healthcare.
Akshat Dubey +3 more
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Questions and epistemic stance: Some examples from Italian conversations
Through the analysis of presuppositions, question design, social action and preference organisation in short fragments of Italian question-answer sequences, this paper aims to show that (1) wh-questions, on the one hand, and alternative and polar ...
Ramona Bongelli +3 more
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Uncertainty of Counterfactuals in Deep Learning
Counterfactuals have become a useful tool for explainable Artificial Intelligence (XAI). Counterfactuals provide various perturbations to a data instance to yield an alternate classification from a machine learning model.
Katherine Elizabeth Brown +2 more
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Green roofs (GRs) are well known for source control of runoff quantity in sustainable urban stormwater management. By considering the inherent randomness of rainfall characteristics, this study derives the probability distribution of rainfall retention ...
Lingwan You +2 more
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The two studies presented in this paper concern the Italian epistemic marker mi sa [lit. to me it knows], which seems to have no equivalent in other European languages and has received very little attention in the literature.
Ilaria Riccioni +3 more
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