Results 21 to 30 of about 361,200 (307)
Consistent robustness analysis (CRA) identifies biologically relevant properties of regulatory network models [PDF]
, 2010 A number of studies have previously demonstrated that "goodness of fit" is insufficient in reliably classifying the credibility of a biological model. Robustness and/or sensitivity analysis is commonly employed as a secondary method for evaluating the ...
Andrew J Millar +15 more
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Robustness test: Sensitivity test.
, 2022 Robustness test: Sensitivity test.
Jingyi Mu (12496231) +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
doaj
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 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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Evolving sensitivity balances Boolean networks [PDF]
, 2012 We investigate the sensitivity of Boolean Networks (BNs) to mutations. We are interested in Boolean Networks as a model of Gene Regulatory Networks (GRNs). We adopt Ribeiro and Kauffman’s Ergodic Set and use it to study the long term dynamics of a BN. We
Turner, Matthew S. +9 more
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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
openaire +3 more sources
, 2021 The inaccurate estimates of the speech and noise linear prediction coefficients (LPCs) introduce bias in augmented Kalman filter (AKF) gain, which impacts the quality and intelligibility of enhanced speech. Although current tuning methods offset the bias
Roy, Sujan Kumar, Paliwal, Kuldip K
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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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