Results 51 to 60 of about 811,356 (270)
Robust and Sparse Regression via $\gamma$-divergence
, 2016 In high-dimensional data, many sparse regression methods have been proposed. However, they may not be robust against outliers. Recently, the use of density power weight has been studied for robust parameter estimation and the corresponding divergences ...
Fujisawa, Hironori, Kawashima, Takayuki
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Generalized Stochastic Gradient Learning [PDF]
, 2005 We study the properties of generalized stochastic gradient (GSG) learning in forwardlooking models. We examine how the conditions for stability of standard stochastic gradient (SG) learning both di1er from and are related to E-stability, which governs ...
Evans, George W. +2 more
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Robust Factor Analysis Parameter Estimation [PDF]
, 2020 This paper considers the problem of robustly estimating the parameters of a heavy-tailed multivariate distribution when the covariance matrix is known to have the structure of a low-rank matrix plus a diagonal matrix as considered in factor analysis (FA). By assuming the observed data to follow the multivariate Student's t distribution, we can robustly
Zhou, Rui +3 more
openaire +2 more sources
Molecular bases of circadian magnesium rhythms across eukaryotes
FEBS Letters, EarlyView.Circadian rhythms in intracellular [Mg2+] exist across eukaryotic kingdoms. Central roles for Mg2+ in metabolism suggest that Mg2+ rhythms could regulate daily cellular energy and metabolism. In this Perspective paper, we propose that ancestral prokaryotic transport proteins could be responsible for mediating Mg2+ rhythms and posit a feedback model ...
Helen K. Feord, Gerben van Ooijen
wiley +1 more source
Méthodes de surclassement et analyse de robustesse [PDF]
Biotechnologie, Agronomie, Société et Environnement, 2001 Outranking methods and robustness analysis. The introduction gives the arguments on which the choice of outranking methods is based: application domain, existence of a software, lack of works on the robustness of outranking methods.
Ben-Mena S.
doaj
Frontiers in Veterinary Science, 2018 Estimating eco-epidemiological parameters in free-ranging populations can be challenging. As known individuals may be undetected during a field session, or their health status uncertain, the collected data are typically “imperfect”.
Sarah Benhaiem +10 more
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Journal of Cheminformatics, 2022 The related problems of chemical reaction optimization and reaction scope search concern the discovery of reaction pathways and conditions that provide the best percentage yield of a target product.
Rubaiyat Mohammad Khondaker +4 more
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Robustness analysis of magnetic torquer controlled spacecraft attitude dynamics [PDF]
, 2009 This paper describes a systematic approach to the robustness analysis of linear periodically time-varying (LPTV) systems. The method uses the technique known as Lifting to transform the original time-varying uncertain system into linear fractional ...
Bates, D.G., Kim, J., Postlethwaite, I.
core
Real‐time assay of ribonucleotide reductase activity with a fluorescent RNA aptamer
FEBS Letters, EarlyView.Ribonucleotide reductases (RNR) synthesize DNA building blocks de novo, making them crucial in DNA replication and drug targeting. FLARE introduces the first single‐tube real‐time coupled RNR assay, which enables isothermal tracking of RNR activity at nanomolar enzyme levels and allows the reconstruction of allosteric regulatory patterns and rapid ...
Jacopo De Capitani +4 more
wiley +1 more source
Robust Integral State Feedback Using Coefficient Diagram in Magnetic Levitation System
IEEE Access, 2020 Magnetic Levitation System or Maglev system is a modern and future technology that has many advantages and applications. Its characteristic is highly nonlinear, fast dynamics, and unstable, so it is challenging to make a suitable controller. The model of
Iswanto Iswanto, Alfian Ma'arif
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