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Showing 1 - 20 results of 100 for search '(( binary model yet optimization algorithm ) OR ( data sampling bayesian optimization algorithm ))', query time: 0.58s Refine Results
  1. 1
    Optimal Bayesian sparsity threshold selection.

    Optimal Bayesian sparsity threshold selection. by Jarod Smith (11999040)

    Published 2022
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  2. 2
    Data Sheet 1_Bayesian Optimization of insect trap distribution for pest monitoring efficiency in agroecosystems.pdf

    Data Sheet 1_Bayesian Optimization of insect trap distribution for pest monitoring efficiency in agroecosystems.pdf by Eric Yanchenko (3266514)

    Published 2025
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  3. 3
    Simulation of realistic, wavelength- and time-dependent noise for an absorption kinetic experiment on a bR sample.

    Simulation of realistic, wavelength- and time-dependent noise for an absorption kinetic experiment on a bR sample. by László Zimányi (2649973)

    Published 2021
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  4. 4
    Number of samples and sample usage for each site.

    Number of samples and sample usage for each site. by Jibo Zhang (38440)

    Published 2024
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  5. 5
    Top-performing model configuration and performance by algorithm type.

    Top-performing model configuration and performance by algorithm type. by Uğur Ejder (22683228)

    Published 2025
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  6. 6
    Comparative analysis of off-policy PPO algorithm and on-policy algorithm on the a) CSMAR and b) MorningStar datasets.

    Comparative analysis of off-policy PPO algorithm and on-policy algorithm on the a) CSMAR and b) MorningStar datasets. by Cai Yuanqing (22513351)

    Published 2025
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  7. 7
    Flow diagram of the proposed model.

    Flow diagram of the proposed model. by Uğur Ejder (22683228)

    Published 2025
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  8. 8
    Distribution of accident categories before and after sampling.

    Distribution of accident categories before and after sampling. by Xinchi Dong (18554525)

    Published 2024
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  9. 9
    Comparative analysis of computational efficiency across various hyperparameter optimization algorithms on the CSMAR and MorningStar datasets.

    Comparative analysis of computational efficiency across various hyperparameter optimization algorithms on the CSMAR and MorningStar datasets. by Cai Yuanqing (22513351)

    Published 2025
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  10. 10
    TSEC: A Framework for Online Experimentation under Experimental Constraints

    TSEC: A Framework for Online Experimentation under Experimental Constraints by Simon Mak (3817885)

    Published 2023
    “…<p>Thompson sampling is a popular algorithm for tackling multi-armed bandit problems, and has been applied in a wide range of applications, from website design to portfolio optimization. …”
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  11. 11
    The comparison of the accuracy score of the benchmark and the proposed models.

    The comparison of the accuracy score of the benchmark and the proposed models. by Uğur Ejder (22683228)

    Published 2025
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  12. 12
    The prediction accuracy of simple versus hybrid models.

    The prediction accuracy of simple versus hybrid models. by Uğur Ejder (22683228)

    Published 2025
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  13. 13
    Bayesian network for BMV_OD model.

    Bayesian network for BMV_OD model. by Xinchi Dong (18554525)

    Published 2024
    “…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …”
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  14. 14
    The accuracy score change matrix following model development.

    The accuracy score change matrix following model development. by Uğur Ejder (22683228)

    Published 2025
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  15. 15
    Bayesian network for BMV_C1 model.

    Bayesian network for BMV_C1 model. by Xinchi Dong (18554525)

    Published 2024
    “…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …”
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  16. 16
    Bayesian network for BMV_C3 model.

    Bayesian network for BMV_C3 model. by Xinchi Dong (18554525)

    Published 2024
    “…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …”
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  17. 17
    Bayesian network for BMV_C2 model.

    Bayesian network for BMV_C2 model. by Xinchi Dong (18554525)

    Published 2024
    “…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …”
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  18. 18
    Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%).

    Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%). by Uğur Ejder (22683228)

    Published 2025
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  19. 19
    Confusion matrix of the ABC–LR–RF hybrid model for IVF outcome prediction.

    Confusion matrix of the ABC–LR–RF hybrid model for IVF outcome prediction. by Uğur Ejder (22683228)

    Published 2025
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  20. 20
    Calibration curve of the ABC–LR–RF hybrid model for IVF outcome prediction.

    Calibration curve of the ABC–LR–RF hybrid model for IVF outcome prediction. by Uğur Ejder (22683228)

    Published 2025
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