Genome scans for selection and introgression based on k‐nearest neighbour techniques.
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Mar 15, 2020 - R
#
adaptive-selection
Here are 6 public repositories matching this topic...
An adaptive selector for short-term forecasting of multiple time series. For each time series, it finds the best method from a pool of candidates based on their past performance.
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Apr 2, 2018 - Python
Bayesian calculation of region-specific FST to detect local adaptation
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Mar 12, 2021 - R
An adaptive selector for short-term forecasting of multiple time series. For each time series, it finds the best method from a pool of candidates based on their past performance.
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Dec 14, 2017 - Python
Hierarchical multi-edge federated learning framework with adaptive client selection for privacy-preserving and energy-efficient healthcare.
python privacy tensorflow numpy scikit-learn scalability pandas healthcare lstm differential-privacy hierarchical-architecture edge-computing adaptive-selection federated-learning google-colab energy-efficient mahcine-learning secure-aggregation eicu-dataset multi-edge-framework
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Aug 5, 2026
This work was published at IEEE ISIT 2022, where we proposed a novel algorithm named G-CADA aiming to improve the time and communication efficiency of distributed learning systems based on grouping and adaptive selection methods 😄
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Dec 19, 2024 - Python
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