Results 31 to 40 of about 14,505 (295)

The Role of Uncertainty in Models of Epistemic Curiosity

open access: yesСовременная зарубежная психология, 2022
The psychological research strategies of studying epistemic curiosity traditionally consider four factors of motivation to search for new information: the degree of familiarity with the subject, the expected value of information, the cultural ...
A.V. Golubinskaya
doaj   +1 more source

Quantifying Epistemic Uncertainty in Deep Learning

open access: yesCoRR, 2021
Uncertainty quantification is at the core of the reliability and robustness of machine learning. In this paper, we provide a theoretical framework to dissect the uncertainty, especially the \textit{epistemic} component, in deep learning into \textit{procedural variability} (from the training procedure) and \textit{data variability} (from the training ...
Ziyi Huang   +2 more
openaire   +2 more sources

Combinatorial Reliability Evaluation of Multi-State System with Epistemic Uncertainty [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences, 2022
Multi-state systems (MSSs) are common in real-word applications, in which a system and/or its components exhibit multiple stochastically-dependent states or performance levels.
Jinjin Yang   +3 more
doaj   +1 more source

DEUP: Direct Epistemic Uncertainty Prediction

open access: yesTrans. Mach. Learn. Res., 2021
Epistemic Uncertainty is a measure of the lack of knowledge of a learner which diminishes with more evidence. While existing work focuses on using the variance of the Bayesian posterior due to parameter uncertainty as a measure of epistemic uncertainty, we argue that this does not capture the part of lack of knowledge induced by model misspecification.
Moksh Jain   +7 more
openaire   +3 more sources

The multi-assumption architecture and testbed (MAAT v1.0): R code for generating ensembles with dynamic model structure and analysis of epistemic uncertainty from multiple sources [PDF]

open access: yesGeoscientific Model Development, 2018
Computer models are ubiquitous tools used to represent systems across many scientific and engineering domains. For any given system, many computer models exist, each built on different assumptions and demonstrating variability in the ways in which ...
A. P. Walker   +7 more
doaj   +1 more source

Acquisition of epistemic marking in Estonian and Russian

open access: yesEesti Rakenduslingvistika Ühingu Aastaraamat, 2016
The article compares the acquisition of epistemic modality in typologically different languages, Estonian and Russian. The longitudinal data of 4 children was used to analyse the first emergence and the further development of lexical markers expressing ...
Viktoria V. Kazakovskaya, Reili Argus
doaj   +1 more source

Unified Reliability Measure Method Considering Uncertainties of Input Variables and Their Distribution Parameters

open access: yesApplied Sciences, 2021
Aleatoric and epistemic uncertainties can be represented probabilistically in mechanical systems. However, the distribution parameters of epistemic uncertainties are also uncertain due to sparsely available or inaccurate uncertainty information ...
Yufeng Lyu   +4 more
doaj   +1 more source

A Fuzzy Probability Algorithm for Evaluating the AP1000 Long Term Cooling System to Mitigate Large Break LOCA

open access: yesAtom Indonesia, 2015
Components of nuclear power plants do not always have historical failure data to probabilistically evaluate their reliability characteristics. To overcome this drawback, an alternative approach has been proposed by involving experts to qualitatively ...
J.H. Purba
doaj   +1 more source

Seismic Risk of Infrastructure Systems with Treatment of and Sensitivity to Epistemic Uncertainty

open access: yesInfrastructures, 2020
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
doaj   +1 more source

Embracing epistemic uncertainty: a risk evaluation method for pollutants in stormwater

open access: yesWater Science and Technology
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
doaj   +1 more source

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