Results 1 to 10 of about 1,487,401 (267)
Robust Shadow Estimation [PDF]
PRX Quantum, 2021 Efficiently estimating properties of large and strongly coupled quantum systems is a central focus in many-body physics and quantum information theory. While quantum computers promise speedups for many of these tasks, near-term devices are prone to noise
Senrui Chen +3 more
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Robust Bayes-Like Estimation: Rho-Bayes estimation [PDF]
The Annals of Statistics, 2016 We consider the problem of estimating the joint distribution $P$ of $n$ independent random variables within the Bayes paradigm from a non-asymptotic point of view.
Andrei N. Parvulescu (2122654) +7 more
core +12 more sources
Multi-layer CNN-LSTM network with self-attention mechanism for robust estimation of nonlinear uncertain systems [PDF]
Frontiers in NeuroscienceIntroductionWith the help of robot technology, intelligent rehabilitation of patients with lower limb motor dysfunction caused by stroke can be realized.
Lin Liu +11 more
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Absolute M split estimation as an alternative for robust M-estimation [PDF]
Advances in Geodesy and Geoinformation, 2022 The problem of outlying observations is very well-known in the surveying data processing. Outliers might have several sources, different magnitudes, and shares within the whole observation set.
Robert Duchnowski, Patrycja Wyszkowska
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A COMPARISON OF M-ESTIMATION AND S-ESTIMATION ON THE FACTORS AFFECTING IR DHF IN EAST JAVA IN 2017
The Indonesian Journal of Public Health, 2021 Robust regression on M estimation and S estimation is the Ordinary Least Square (OLS) regression on the data outlier. East Java is one of the provinces in Indonesia with a high case fatalitiy rate (1.34%). The raising of Dengue Haemoragic Fever (DHF) in
Mardiana Mardiana +3 more
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Robust pooling through the data mode
Intelligent Systems with Applications, 2023 The task of learning from point cloud data is always challenging due to the often occurrence of noise and outliers in the data. Such data inaccuracies can significantly influence the performance of state-of-the-art deep learning networks and their ...
Ayman Mukhaimar +4 more
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COMPARISON OF ROBUST ESTIMATION ON MULTIPLE REGRESSION MODEL
Barekeng, 2023 This study aimed to compare the robustness of the OLS method with a robust regression model on data that had outliers. The methods used on the robust regression model were M-estimation, MM-estimation, and S-estimation.
Padrul Jana +2 more
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Robust Dynamic Mode Decomposition
IEEE Access, 2022 This paper develops a robust dynamic mode decomposition (RDMD) method endowed with statistical and numerical robustness. Statistical robustness ensures estimation efficiency at the Gaussian and non-Gaussian probability distributions, including heavy ...
Amir Hossein Abolmasoumi +2 more
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Robust error estimation based on factor-graph models for non-line-of-sight localization
EURASIP Journal on Advances in Signal Processing, 2022 This paper presents a method to estimate the covariances of the inputs in a factor-graph formulation for localization under non-line-of-sight conditions. A general solution based on covariance estimation and M-estimators in linear regression problems, is
O. Arda Vanli, Clark N. Taylor
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The Symmetry of GPS Orbit Ascending Nodes
Remote Sensing, 2021 Theoretical nominal GPS orbits are parallel and share six ascending nodes of orbital planes. However, due to the perturbations and continuous modernization of the system, this state does not occur.
Pawel S. Dabrowski
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