Results 41 to 50 of about 2,041,920 (276)
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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The Robustness of Quintessence
, 1999 Recent observations seem to suggest that our Universe is accelerating implying that it is dominated by a fluid whose equation of state is negative. Quintessence is a possible explanation. In particular, the concept of tracking solutions permits to adress
A. G. Riess +31 more
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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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, 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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Genralized Robustness of Entanglement
, 2003 The robustness of entanglement results of Vidal and Tarrach considered the problem whereby an entangled state is mixed with a separable state so that the overall state becomes non-entangled. In general it is known that there are also cases when entangled
A. Peres +6 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
doaj
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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Remote Sensing, 2023 Wideband beamformers have been widely studied in wireless communication, remote sensing and so on. Generally speaking, to improve the spatial filtering ability of beamformers, there usually needs more sensors, which implies increased computational ...
Yu Bao +4 more
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On the influence of topological characteristics on robustness of complex networks
, 2013 In this paper, we explore the relationship between the topological characteristics of a complex network and its robustness to sustained targeted attacks.
Kasthurirathna, Dharshana +2 more
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