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acquired optimization » required optimization (Expand Search), guided optimization (Expand Search), acid optimization (Expand Search)
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Showing 1 - 7 results of 7 for search '(( binary data acquired optimization algorithm ) OR ( lines tree process optimization algorithm ))', query time: 0.57s Refine Results
  1. 1
    Optimal <i>Q</i> analysis for chromosome 10.

    Optimal <i>Q</i> analysis for chromosome 10. by Dolores Bernenko (16528426)

    Published 2023
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  2. 2
    Schematic representation of semi-automated algorithm for organoids analyzing.

    Schematic representation of semi-automated algorithm for organoids analyzing. by Anna Demchenko (18449439)

    Published 2025
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  3. 3
    Cell-free DNA coverage and fragmentomic profiles produced under various sequencing protocols

    Cell-free DNA coverage and fragmentomic profiles produced under various sequencing protocols by Antoine Passemiers (17302912)

    Published 2024
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  4. 4
    Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data

    Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data by Fei Xue (24567)

    Published 2021
    “…In this article, we develop a novel angle-based approach to search the optimal DTR under a multicategory treatment framework for survival data. …”
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  5. 5
    Firing patterns of a-thorny cells encode more information about the statistics of presynaptic inputs.

    Firing patterns of a-thorny cells encode more information about the statistics of presynaptic inputs. by Daniele Linaro (227790)

    Published 2022
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  6. 6
    tUbenet Foundation Model Weights

    tUbenet Foundation Model Weights by Natalie Holroyd (7099391)

    Published 2025
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  7. 7
    Performance of pairing prediction versus training set size and number of pairs per species.

    Performance of pairing prediction versus training set size and number of pairs per species. by Guillaume Marmier (7495823)

    Published 2019
    “…The three pairing scores corresponding to each of these three methods are employed in two ways: either within each species we find the chain B with optimal pairing score with each chain A (dashed lines), or within each species we employ the Hungarian matching algorithm to find the one-to-one pairing of chains A and B that optimizes the sum of the pairing scores (solid lines). …”
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