Results 11 to 20 of about 339,347 (266)
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 +5 more
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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 +8 more
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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.
Naoki Yamamoto, Luc Bouten
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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 +3 more
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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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ROBUSTNESS ESTIMATION OF FREE MOTION DEVIATIONS OF APERIODIC SYSTEMS WITH SENSITIVITY THEORY METHODS [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2018 Subject of Research.The paper deals with robustness estimation of free motion deviations in aperiodic continuous systemsto parameter variations of the state matrix. Methods.
N. A. Vunder, N. A. Dudarenko
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Network design for local agriculture using robust optimization
Information Processing in Agriculture, 2021 For small farmers wishing to sell their products under the “local agriculture” marketing concept, connecting with consumers can be challenging. One approach to mitigating this disconnect between where production occurs and where consumers reside is ...
Ashish Kambli, Ronald G. McGarvey
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A Robust Class of Context-Sensitive Languages [PDF]
22nd Annual IEEE Symposium on Logic in Computer Science (LICS 2007), 2007 We define a new class of languages defined by multi-stack automata that forms a robust subclass of context-sensitive languages, with decidable emptiness and closure under boolean operations. This class, called multi-stack visibly pushdown languages (MVPLs), is defined using multi-stack pushdown automata with two restrictions: (a) the pushdown automaton
LA TORRE, Salvatore +2 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.
Bor-Sen Chen, Liang-Hui Chu
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Robustness and risk-sensitive filtering
Proceedings of the 36th IEEE Conference on Decision and Control, 2002 This paper gives a precise meaning to the robustness of risk-sensitive filters for problems in which one is uncertain as to the exact value of the probability model. It is shown that risk-sensitive estimators (including filters) enjoy an error bound which is the sum of two terms, the first of which coincides with an upper bound on the error that one ...
René K. Boel +2 more
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