Results 41 to 50 of about 1,117,435 (318)
On a parameter adaptive self-organizing system in the presence of large outliers in observations
Lietuvos Matematikos Rinkinys, 2009 The aim of the given paper is development of a minimum variance control (MVC) approach for a closed-loopdiscrete-time linear time-invariant (LTI) system when the parameters of a dynamic system as well as that of a controller are not known and ought to be
Rimantas Pupeikis
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Constant approximation for k-median and k-means with outliers via iterative rounding [PDF]
Symposium on the Theory of Computing, 2017 In this paper, we present a new iterative rounding framework for many clustering problems. Using this, we obtain an (α1 + є ≤ 7.081 + є)-approximation algorithm for k-median with outliers, greatly improving upon the large implicit constant approximation ...
Ravishankar Krishnaswamy +2 more
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Forecasting Economic Indicators with Robust Factor Models
National Accounting Review, 2022 Outliers can cause significant errors in forecasting, and it is essential to reduce their impact without losing the information they store. Information loss naturally arises if observations are dropped from the dataset.
Fausto Corradin +2 more
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Outliers in the Single Ring Theorem [PDF]
, 2015 This text is about spiked models of non Hermitian random matrices. More specifically, we consider matrices of the type $A+P$, where the rank of $P$ stays bounded as the dimension goes to infinity and where the matrix $A$ is a non Hermitian random matrix,
Benaych-Georges, Florent, Rochet, Jean
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Methodology, 2022 Researchers often examine whether two continuous variables (X and Y) are linearly related. Pearson’s correlation (r) is a widely-employed statistic for assessing bivariate linearity.
Johnson Ching-Hong Li
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Graph Neural Networks for Modeling Causality in International Trade
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 Neural network algorithms have proven successful for accurate classifications in many domains such as image recognition and semantic parsing. However, they have long suffered from the lack of ability to measure causality, predict outliers effectively, or
Anderson Monken +4 more
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BiologyAs the amygdala is associated with fear and anxiety, it is important to determine the potential effects of gestational stressors on behavior and stress responses in offspring.
Emilie C. Baker +6 more
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Complex outliers of Hermitian random matrices
, 2016 In this paper, we study the asymptotic behavior of the outliers of the sum a Hermitian random matrix and a finite rank matrix which is not necessarily Hermitian.
Rochet, Jean
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Robust Orthogonal Complement Principal Component Analysis [PDF]
, 2016 Recently, the robustification of principal component analysis has attracted lots of attention from statisticians, engineers and computer scientists. In this work we study the type of outliers that are not necessarily apparent in the original observation ...
Li, Shijie, She, Yiyuan, Wu, Dapeng
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A Feature-Cascaded Correntropy LSTM for Tourists Prediction
IEEE Access, 2021 Forecasting the number of tourists is significant to public safety, which can enable the government to control the sudden influx of tourists timely. The temporal dependence (closeness and period), external factors such as holidays, government policy, as ...
Yuehai Chen +4 more
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