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Showing 1 - 20 results of 1,155 for search '(( data sample model optimization algorithm ) OR ( binary b based optimization algorithm ))', query time: 0.49s Refine Results
  1. 1
    <i>hi</i>PRS algorithm process flow.

    <i>hi</i>PRS algorithm process flow. by Michela C. Massi (14599915)

    Published 2023
    “…<b>(B)</b> Focusing on the positive class only, the algorithm exploits FIM (<i>apriori</i> algorithm) to build a list of candidate interactions of any desired order, retaining those that have an empirical frequency above a given threshold <i>δ</i>. …”
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  2. 2
    Flowchart of the GA-optimized BPNN algorithm.

    Flowchart of the GA-optimized BPNN algorithm. by Guoqiang Du (9346531)

    Published 2021
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  3. 3
    Optimized process of the random forest algorithm.

    Optimized process of the random forest algorithm. by Hongxia Li (493545)

    Published 2023
    “…Subsequently, a training model based on the random forest classification algorithm is constructed, and the model is optimized using two parameters, Mtry and Ntree. …”
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  4. 4
    The parameter settings of the RF algorithm after parameter optimization.

    The parameter settings of the RF algorithm after parameter optimization. by Xini Fang (20861990)

    Published 2025
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  5. 5
    One advantage of our algorithm is that it is not binary in nature.

    One advantage of our algorithm is that it is not binary in nature. by Yong Kuk Kim (13955214)

    Published 2022
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  6. 6
    Description of optimal model parameters.

    Description of optimal model parameters. by Libo Liu (552605)

    Published 2024
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  7. 7
    Parameter optimization results of the RF model improved by FCM clustering.

    Parameter optimization results of the RF model improved by FCM clustering. by Xini Fang (20861990)

    Published 2025
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  8. 8
    Optimal patch size and stride selection algorithm with stability constraints.

    Optimal patch size and stride selection algorithm with stability constraints. by Chenglong Ge (2626258)

    Published 2025
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  9. 9
    Optimal hyperparameters of the models.

    Optimal hyperparameters of the models. by Tuan Tran (322707)

    Published 2022
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  10. 10
    Evaluation of the optimization algorithm using mock microbiome reference values.

    Evaluation of the optimization algorithm using mock microbiome reference values. by Juan Ricardo Velasco-Álvarez (16859181)

    Published 2023
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  11. 11
    Evaluation of the optimization algorithm using clinical microbiome reference values.

    Evaluation of the optimization algorithm using clinical microbiome reference values. by Juan Ricardo Velasco-Álvarez (16859181)

    Published 2023
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  12. 12
    The structure of the NANEAT model corresponds to the optimal species genome.

    The structure of the NANEAT model corresponds to the optimal species genome. by Wenbing Shi (5806160)

    Published 2025
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  13. 13
    The structure of the ANEAT model corresponds to the optimal species genome.

    The structure of the ANEAT model corresponds to the optimal species genome. by Wenbing Shi (5806160)

    Published 2025
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  14. 14
    Model comparison of the two optimized models against the PRF.

    Model comparison of the two optimized models against the PRF. by Taiwo A. Adekunle (22226868)

    Published 2025
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  15. 15
    Number of samples after dataset optimization.

    Number of samples after dataset optimization. by Ming-zhou Lv (21402593)

    Published 2025
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  16. 16
    Hyperparameters’ setting for PSO algorithm.

    Hyperparameters’ setting for PSO algorithm. by Feng Shen (151470)

    Published 2024
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  17. 17
    The framework of the GA2CNN model algorithm.

    The framework of the GA2CNN model algorithm. by Cun Lin (18880471)

    Published 2024
    “…The results show that in all models, the sample output results’ actual value is 2.62, which represents the real data observation results. …”
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  18. 18
    An Optimized Methane Reaction Model for Oxyfuel Combustion

    An Optimized Methane Reaction Model for Oxyfuel Combustion by Rui Fu (327741)

    Published 2023
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  19. 19
    GA2CNN optimization model.

    GA2CNN optimization model. by Cun Lin (18880471)

    Published 2024
    “…The results show that in all models, the sample output results’ actual value is 2.62, which represents the real data observation results. …”
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  20. 20
    Evaluation of the optimization algorithm using <i>in vitro</i> microbiome reference values.

    Evaluation of the optimization algorithm using <i>in vitro</i> microbiome reference values. by Juan Ricardo Velasco-Álvarez (16859181)

    Published 2023
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