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Titlebook: Ukraine and Beyond; Russia‘s Strategic S Janne Haaland Matlary,Tormod Heier Book 2016 The Editor(s) (if applicable) and The Author(s) 2016

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發(fā)表于 2025-3-23 11:01:36 | 只看該作者
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e segmented image‘s orientation histogram is firstly done using the Euclidian distance method. Secondly, the supervised neural network is trained for the same, producing better recognition results.?..An approac978-981-13-5234-8978-981-10-4798-5
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Janne Haaland Matlarygement of aberrant behavior. This information will provide the user with improved feedback about system behavior, which will in turn lead to more relevant and effective prescriptions for interaction, particularly during emergency procedures. This, in turn, will enable proper trust calibration. We al
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發(fā)表于 2025-3-24 16:14:22 | 只看該作者
class of nonlinear, dynamic uncertainties. Furthermore, our main result shows that for this uncertainty description, our robust filter can be used to determine if the assumed model is consistent with the given output measurements. Such model validation results cannot be obtained with a stochastic de
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Julian Lindley-Frenchthis error distribution is larger than three times the square of the second moment, then robust M-estimation turns out to be asymptotically more efficient than least squares. Both least squares estimation and robust M-estimation requires some assumptions about the distributions of the regressors. In
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