Results 21 to 30 of about 7,629,903 (299)
Journal of Geodesy, 2021 The Minimal Detectable Displacement (MDD) is an important measure of monitoring networks sensitivity to displacements. In addition to the accuracy criteria, it is used as a detectability criterion in the optimal design of such networks.
W. Prószyński, S. Łapiński
semanticscholar +1 more source
Minimum Area Confidence Region for Weibull Distribution Based on Records
Revstat Statistical Journal, 2021 Record values are commonly seen in real life applications, and many important studies on record values relate to Weibull distributions. Based on record values, we establish the minimum area confidence region for the two-parameter Weibull distribution ...
Junmei Zhou , Fen Jiang , Jin Zhang
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Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation [PDF]
International Joint Conference on Artificial Intelligence, 2023 Consistency regularization and pseudo labeling-based semi-supervised methods perform co-training using the pseudo labels from multi-view inputs. However, such co-training models tend to converge early to a consensus, degenerating to the self-training ...
Zhiqiang Shen +5 more
semanticscholar +1 more source
Estimation of Driver’s Gaze Region From Head Position and Orientation Using Probabilistic Confidence Regions [PDF]
IEEE Transactions on Intelligent Vehicles, 2020 Visual attention is one of the most important aspects related to driver distraction. Estimating the driver’s visual attention can help a vehicle understand the awareness state of the driver, providing important contextual information.
S. Jha, C. Busso
semanticscholar +1 more source
SIMPLE ALGORITHM TO CONSTRUCT CIRCULAR CONFIDENCE REGIONS IN CORRESPONDENCE ANALYSIS USING R
Barekeng, 2022 Correspondence analysis has been widely applied in various fields as a graphical method to depict the association structure between two categorical random variables on a low-dimensional plot. This study built a simple algorithm to determine the principal
Karunia Eka Lestari +2 more
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Confidence Regions for Evolutionary Trajectories [PDF]
Biometrics, 1996 Summary: We derive confidence regions for the evolutionary trajectories derived from a model of \textit{S. Via} and \textit{R. Lande} [Evolution 39, 505-522 (1985)]. We utilize a nested, parametric bootstrap to calculate the confidence regions and show that a likelihood-based approach provides an unsatisfactory solution.
McCulloch, Charles E. +2 more
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Confidence regions for level sets
Journal of Multivariate Analysis, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mammen, Enno, Polonik, Wolfgang
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The Comparison of the Confidence Regions in Phylogeny [PDF]
Molecular Biology and Evolution, 2005 In this paper, several different procedures for constructing confidence regions for the true evolutionary tree are evaluated both in terms of coverage and size without considering model misspecification. The regions are constructed on the basis of tests of hypothesis using six existing tests: Shimodaira Hasegawa (SH), SOWH, star form of SOWH (SSOWH ...
Xiaofei, Shi +3 more
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Mathematics, 2021 The present work proposes a novel methodology for an optimization procedure extending the optimal point to an optimal area based on an uncertainty map of deterministic optimization.
Carine M. Rebello +5 more
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Uncertainty inherent in empirical fitting of distributions to experimental data
International Journal of Metrology and Quality Engineering, 2013 Treatment of experimental data often entails fitting frequency functions, in order to draw inferences on the population underlying the sample at hand, and/or identify plausible mechanistic models.
Barbato G., Genta G., Levi R.
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