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Published in 2021 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2021.3055481
Abstract: Though the convex optimization has been widely used in power systems, it still cannot guarantee to yield a tight (accurate) solution to some problems. To mitigate this issue, this paper proposes an ensemble learning based…
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Keywords:
power;
ensemble learning;
power flow;
convex approximation ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2021.3138242
Abstract: Optimizing non-convex functions is of primary importance in modern pattern recognition because it underlies the training of deep networks and nonlinear dimensionality reduction. First-order algorithms under suitable randomized perturbations or step-size rules have been shown…
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Keywords:
convex approximation;
order;
successive convex;
first order ... See more keywords