Results 11 to 20 of about 764,096 (293)

Supervised versus Semi-Supervised Urban Functional Area Prediction: Uncertainty, Robustness and Sensitivity

Remote Sensing, 2023
To characterize a community-scale urban functional area using geo-tagged data and available land-use information, several supervised and semi-supervised models are presented and evaluated in Hong Kong for comparing their uncertainty, robustness and ...
Rui Deng, Yanning Guan, Danlu Cai, Tao Yang, Klaus Fraedrich, Chunyan Zhang, Jiakui Tang, Zhouwei Liao, Zhishou Wei, Shan Guo   +9 more
doaj   +1 more source

Evaluation of VLBI Observations with Sensitivity and Robustness Analyses

Mathematics, 2020
Very Long Baseline Interferometry (VLBI) plays an indispensable role in the realization of global terrestrial and celestial reference frames and in the determination of the full set of the Earth Orientation Parameters (EOP).
Pakize Küreç Nehbit, Robert Heinkelmann, Harald Schuh, Susanne Glaser, Susanne Lunz, Nicat Mammadaliyev, Kyriakos Balidakis, Haluk Konak, Emine Tanır Kayıkçı   +8 more
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Inspecting the Solution Space of Genome-Scale Metabolic Models

Metabolites, 2022
Genome-scale metabolic models are frequently used in computational biology. They offer an integrative view on the metabolic network of an organism without the need to know kinetic information in detail.
Seyed Babak Loghmani, Nadine Veith, Sven Sahle, Frank T. Bergmann, Brett G. Olivier, Ursula Kummer   +5 more
doaj   +1 more source

Quantum Risk-Sensitive Estimation and Robustness [PDF]

IEEE Transactions on Automatic Control, 2009
This paper studies a quantum risk-sensitive estimation problem and investigates robustness properties of the filter. This is a direct extension to the quantum case of analogous classical results. All investigations are based on a discrete approximation model of the quantum system under consideration.
Yamamoto, Naoki, Bouten, Luc
openaire   +3 more sources

Risk-sensitive optimization for robust quantum controls [PDF]

Physical Review A, 2021
Highly accurate and robust control of quantum operations is vital for the realization of error-correctible quantum computation. In this paper, we show that the robustness of high-precision controls can be remarkably enhanced through sampling-based stochastic optimization of a risk-sensitive loss function.
Xiaozhen Ge, Re-Bing Wu
openaire   +2 more sources

Sensitivity analysis for causal decomposition analysis: Assessing robustness toward omitted variable bias

Journal of Causal Inference, 2023
A key objective of decomposition analysis is to identify a factor (the “mediator”) contributing to disparities in an outcome between social groups. In decomposition analysis, a scholarly interest often centers on estimating how much the disparity (e.g ...
Park Soojin, Kang Suyeon, Lee Chioun, Ma Shujie   +3 more
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A finite element based formulation for sensitivity studies of piezoelectric systems [PDF]

, 2007
Sensitivity Analysis is a branch of numerical analysis which aims to quantify the affects that variability in the parameters of a numerical model have on the model output. A finite element based sensitivity analysis formulation for piezoelectric media is
, H P Wynn, Jin J, Kleiber M, M A Atherton, M A Perry, Mackerle J, Muralt P, Perry M A Bates R A Atherton M A Oldfield M, R A Bates, Saltelli A, Saltelli A, Ucinski D   +12 more
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Comparisons of Robustness and Sensitivity between Cancer and Normal Cells by Microarray Data

Cancer Informatics, 2008
Robustness is defined as the ability to uphold performance in face of perturbations and uncertainties, and sensitivity is a measure of the system deviations generated by perturbations to the system.
Liang-Hui Chu, Bor-Sen Chen
doaj   +2 more sources

Bond graph based sensitivity and uncertainty analysis modelling for micro-scale multiphysics robust engineering design [PDF]

, 2007
Components within micro-scale engineering systems are often at the limits of commercial miniaturization and this can cause unexpected behavior and variation in performance.
Atherton, MA, Bates, RA, Perry, M, Wynn, HP   +3 more
core   +1 more source

Using Bayesian approach to study robustness of classes of priors for homogeneous and non homogeneous Poison processes

المجلة الدولية للأداء الاقتصادي, 2021
A Non-Homogeneous process is a process with rate parameter (t) such that this rate is a function of time. Bayesians are interested in robustness with respect to changes in prior distributions/sampling models/loss functions.
Fatiha TALBI
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