Showing 41 - 60 results of 309 for search '(( binary input feature optimization algorithm ) OR ( primary data based optimization algorithm ))', query time: 1.13s Refine Results
  1. 41

    Table_7_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx by Mingjuan Zhou (12880019)

    Published 2022
    “…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …”
  2. 42

    Table_4_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx by Mingjuan Zhou (12880019)

    Published 2022
    “…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …”
  3. 43

    Table_2_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx by Mingjuan Zhou (12880019)

    Published 2022
    “…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …”
  4. 44

    Table_6_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx by Mingjuan Zhou (12880019)

    Published 2022
    “…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …”
  5. 45

    Table_10_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx by Mingjuan Zhou (12880019)

    Published 2022
    “…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …”
  6. 46

    Table_3_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx by Mingjuan Zhou (12880019)

    Published 2022
    “…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …”
  7. 47

    Models’ performance without optimization. by Muhammad Usman Tariq (11022141)

    Published 2024
    “…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …”
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    RNN performance comparison with/out optimization. by Muhammad Usman Tariq (11022141)

    Published 2024
    “…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …”
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    A portfolio selection model based on the knapsack problem under uncertainty by Fereshteh Vaezi (6655028)

    Published 2019
    “…The resulted model is converted into a parametric linear programming model in which the decision maker is able to determine the optimism threshold. Finally, a discrete firefly algorithm is designed to find the near optional solutions in large dimensions. …”
  17. 57

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

    Published 2023
    “…<p><b>(A)</b> Input data is a list of genotype-level SNPs. <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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