Results 31 to 40 of about 2,082,460 (297)
r-Robustness and (r,s)-Robustness of Circulant Graphs
, 2017 There has been recent growing interest in graph theoretical properties known as r- and (r,s)-robustness. These properties serve as sufficient conditions guaranteeing the success of certain consensus algorithms in networks with misbehaving agents present.
Panagou, Dimitra, Usevitch, James
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SSRN Electronic Journal, 2012 Filtering methods are powerful tools to estimate the hidden state of a state-space model from observations available in real time. However, they are known to be highly sensitive to the presence of small misspecifications of the underlying model and to outliers in the observation process.
Calvet, Laurent E. +2 more
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Robust Phylogenetic Regression
Systematic Biology, 2022 Abstract Modern comparative biology owes much to phylogenetic regression. At its conception, this technique sparked a revolution that armed biologists with phylogenetic comparative methods (PCMs) for disentangling evolutionary correlations from those arising from hierarchical phylogenetic relationships.
Richard Adams +3 more
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Improving the Robustness of Online Social Networks: A Simulation Approach of Network Interventions
Frontiers in Robotics and AI, 2020 Online social networks (OSN) are prime examples of socio-technical systems in which individuals interact via a technical platform. OSN are very volatile because users enter and exit and frequently change their interactions.
Giona Casiraghi, Frank Schweitzer
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Applied Sciences, 2023 This paper introduces a novel and robust data-driven algorithm designed for Aircraft Trajectory Prediction (ATP). The approach employs a Neural Network architecture to predict future aircraft trajectories, utilizing input variables such as latitude ...
Seyed Mohammad Hashemi +3 more
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, 2006 Econometrics often deals with data under, from the statistical point of view, non-standard conditions such as heteroscedasticity or measurement errors and the estimation methods need thus be either adopted to such conditions or be at least insensitive to them.
Pavel Cizek, Wolfgang Härdle
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Adaptive Robust Vehicle Motion Control for Future Over-Actuated Vehicles
Machines, 2019 Many challenges still need to be overcome in the context of autonomous vehicles. These vehicles would be over-actuated and are expected to perform coupled maneuvers.
Moad Kissai +4 more
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Robustness of adiabatic quantum computation [PDF]
, 2001 We study the fault tolerance of quantum computation by adiabatic evolution, a quantum algorithm for solving various combinatorial search problems. We describe an inherent robustness of adiabatic computation against two kinds of errors, unitary control ...
Andrew M. Childs +13 more
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Research on the robustness of convolutional neural networks in image recognition
网络与信息安全学报, 2022 Convolutional neural network is one of the key technologies in the application of image recognition and processing in artificial intelligence.Its wide application makes researches on its robustness more and more important.Previous researches on ...
Dian LIN, Li PAN, Ping YI
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Animals, 2013 It is a difficult task to improve animal production by means of genetic selection, if the environment does not allow full expression of the animal’s genetic potential. This concept may well be the future for animal welfare, because it highlights the need
Schalk Cloete +2 more
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