Search alternatives:
sampling algorithm » making algorithm (Expand Search), modeling algorithm (Expand Search), mining algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
elements method » element method (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
sampling algorithm » making algorithm (Expand Search), modeling algorithm (Expand Search), mining algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
elements method » element method (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
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Overview of the C&CG method.
Published 2025“…The model is solved iteratively using the column generation algorithm and strong duality theory. Case studies on a Northeast China power grid demonstrate that, by optimally configuring generation and storage capacity guided by flexibility and other indicators, the proposed method reduces curtailment/load shedding costs and system flexibility insufficiency probability by 45% and 4.3% respectively. …”
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Supporting data for "Interpreting complex ecological patterns and processes across differentscales using Artificial Intelligence"
Published 2025“…Built with machine learning algorithms and novel, scale-invariant metrics, this package provides more precise, scale-invariant representations of HSC than traditional approaches, which can be applied to a variety of habitats in different ecosystems. …”
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Improved random forest algorithm.
Published 2025“…Compared with MDA-RF, the prediction accuracy of the improved RF built on the same subset increased by 1.7%, indicating that improving the bootstrap sampling of random forest by using the K-means++ clustering algorithm can enhance model accuracy to some extent. …”
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K-means++ clustering algorithm.
Published 2025“…Compared with MDA-RF, the prediction accuracy of the improved RF built on the same subset increased by 1.7%, indicating that improving the bootstrap sampling of random forest by using the K-means++ clustering algorithm can enhance model accuracy to some extent. …”
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Haplotype phylogenies and iSNV frequency trajectories across sampling time points (patient A and J).
Published 2025Subjects: -
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<b>MACEDONIA OS: A Unified Scalar Field-Based Consciousness and Operating System Architecture</b>
Published 2025Subjects: -
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