1,317 research outputs found

    Online automated machine learning for class imbalanced data streams

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    Online automated machine learning for class imbalanced data streams

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    Error analysis of an effective numerical scheme for a temporal multiscale plaque growth problem

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    In this work, we propose a simple numerical scheme based on a fast front-tracking approach for solving a fluid-structure interaction (FSI) problem of plaque growth in blood vessels. A rigorous error analysis is carried out for the temporal semi-discrete scheme to show that it is first-order accurate for all macro time step ΔT\Delta T, micro time step Δt\Delta t and scale parameter ϵ\epsilon. A numerical example is presented to verify the theoretical results and demonstrate the excellent performance of the proposed multiscale algorithm
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