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How to measure uncertainty in uncertainty sampling for active learning [PDF]
, 2022 Various strategies for active learning have been proposed in the machine learning literature. In uncertainty sampling, which is among the most popular approaches, the active learner sequentially queries the label of those instances for which its current ...
Hüllermeier, Eyke +3 more
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The Annals of Occupational Hygiene, 2008 The reporting of measurement uncertainty has recently undergone a major harmonization whereby characteristics of a measurement method obtained during establishment and application are combined componentwise. For example, the sometimes-pesky systematic error is included.
David, Bartley, Göran, Lidén
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Entropy, 2021 Much attention has been paid to construct an applicable knowledge measure or uncertainty measure for Atanassov’s intuitionistic fuzzy set (AIFS). However, many of these measures were developed from intuitionistic fuzzy entropy, which cannot really ...
Xuan Wu, Yafei Song, Yifei Wang
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Measuring Knightian uncertainty [PDF]
Empirical Economics, 2019 KOF Working Papers ...
Andreas Dibiasi, David Iselin
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Pruning and measures of uncertainty [PDF]
RAIRO. Informatique théorique, 1978 We introduce a new property, pruning, for measures of uncertainty and investigate its consequences. In particular, we derive a new characterization of the additive, subadditive and symmetric entropies without assuming expansibility. Pruning also provides a new motivation for Hartley's entropy.
B. Forte, SEMPI, Carlo
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Entropy, 2020 Dempster–Shafer theory has been widely used in many applications, especially in the measurement of information uncertainty. However, under the D-S theory, how to use the belief entropy to measure the uncertainty is still an open issue.
Jiapeng Li, Qian Pan
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Axioms, 2023 In this paper, we suggest a brand new extension of the inverse Lomax distribution for fitting engineering time data. The newly developed distribution, termed the transmuted Topp–Leone inverse Lomax (TTLILo) distribution, is characterized by an additional
Salem A. Alyami +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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