Results 31 to 40 of about 87,338 (265)
On Measures of Uncertainty in Classification
IEEE Transactions on Signal Processing, 2023 Uncertainty is unavoidable in classification tasks and might originate from data (e.g., due to noise or wrong labeling), or the model (e.g., due to erroneous assumptions, etc). Providing an assessment of uncertainty associated with each outcome is of paramount importance in assessing the reliability of classification algorithms, especially on unseen ...
Saloua Chlaily +3 more
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Uncertainty in Measurement [PDF]
, 2020 Measurements of physical quantities are the corner stone upon which we humans have built the scientific perception of the world. Measurements are the distinctive means to tell the scientific truth apart from any other approach to knowledge. The fundamental concepts of measurement and uncertainty in measurement have been analysed with reference to ...
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Uncertainty in measurements of distance [PDF]
Classical and Quantum Gravity, 2002 5 pages ...
Baez, John C., Olson, S. Jay
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Gas flow calibrations performed at the National Metrology Institute of South Africa (NMISA)
International Journal of Metrology and Quality Engineering, 2014 The National Metrology Institute of South Africa (NMISA) Gas Flow Laboratory provides traceability to the South African Industry for gas flow measurements.
Jonker D., Tarnow E.P.
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International Journal of Metrology and Quality Engineering, 2022 The application of the Guide to the Expression of Uncertainty in Measurement (GUM) for multivariate measurand equations requires an expected vector value and a corresponding covariance matrix in order to accurately calculate measurement uncertainties for
Ramnath Vishal
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Direct evaluation of measurement uncertainties by feedback compensation of decoherence
Physical Review Research, 2021 It is shown that measurement uncertainties can be observed directly by evaluating the feedback compensation of the decoherence induced by the measured system on a probe qubit in a weak interaction occurring between state preparation and measurement.
Holger F. Hofmann
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Determination of Optimal Technological Parameters of a Compaction Process: Case Study
Measurement Science Review, 2013 Pelletizing as a complicated compaction process is under continuous improvement. One of the problems - determination of optimal technological parameters to attain a sufficiently high density of pellets - is solved in this paper.
Jarošová E., Kureková E.
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Measurement: Sensors, 2021 The behaviour of the values of some measurement standards, in many cases, have well-defined drifts and therefore can be modelled by linear regressions, using the least squares method. The linear regression model allows to predict the measurement standard
Mauricio Sáchica-Avellaneda +1 more
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Characterization of uncertainties in atmospheric trace gas inversions using hierarchical Bayesian methods [PDF]
Atmospheric Chemistry and Physics, 2014 We present a hierarchical Bayesian method for atmospheric trace gas inversions. This method is used to estimate emissions of trace gases as well as "hyper-parameters" that characterize the probability density functions (PDFs) of the a priori emissions ...
A. L. Ganesan +15 more
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A numerical study of measurement uncertainties for wave gauges
Measurement: Sensors, 2021 This study describes the development of a Monte Carlo based numerical analysis method to determine the instrumental uncertainty of dimensional measurements with wave gauges.
Gustavo Esteves Coelho +3 more
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