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Uncertainty in a monthly water balance model using the generalized likelihood uncertainty estimation methodology
(2015)
Hydrological models are simplified representations of natural processes and subject to errors. Uncertainty bounds are a commonly used way to assess the impact of an input or model architecture uncertainty in model outputs. ...
Epistemic uncertainty in the seismic response of RC free-plan buildings
(2017)
Complex building models consider multiple degrees of freedom and modeling assumptions that influence the accuracy of the predicted seismic response. This study evaluates the epistemic uncertainty inherent to modeling ...
Uncertainty weighting and propagation in DNN-HMM-based speech recognition
(2018)
In this paper an uncertainty weighting scheme for DNNHMM-based speech recognition is proposed to increase discriminability in the decoding process. To this end, the DNN pseudo-log-likelihoods are weighted according to the ...
Identifiability analysis: towards constrained equifinality and reduced uncertainty in a conceptual model
(BLACKWELL SCIENTIFIC PUBLICATIONS, 2014)
Monte carlo-based uncertainties of surface uv estimates from models and from spectroradiometers
(IOP PUBLISHING LTD, 2013)
Monte carlo-based uncertainties of surface uv estimates from models and from spectroradiometers
(IOP PUBLISHING LTD, 2013)
Monte carlo-based uncertainties of surface uv estimates from models and from spectroradiometers
(IOP PUBLISHING LTD, 2013)
Investment under uncertainty in power generation: integrated electricity prices modeling and real options approach
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2011)
Uncertainty modeling and spatial prediction by multi-gaussian kriging: accounting for an unknown mean value
(PERGAMON-ELSEVIER SCIENCE LTD, 2008)