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Showing 21 - 40 results of 221 for search '(( binary basic guided optimization algorithm ) OR ( library based based optimization algorithm ))', query time: 0.55s Refine Results
  1. 21
    Gene-set overlap results for top 50 genes according to average rank across feature-selection algorithms for GSE10320.

    Gene-set overlap results for top 50 genes according to average rank across feature-selection algorithms for GSE10320. by Stephen R. Piccolo (8367780)

    Published 2022
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  2. 22
    Data Sheet 7_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx

    Data Sheet 7_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

    Published 2025
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  3. 23
    Data Sheet 2_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx

    Data Sheet 2_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

    Published 2025
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  4. 24
    Data Sheet 9_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.xlsx

    Data Sheet 9_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.xlsx by Xuehui Fan (10762662)

    Published 2025
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  5. 25
    Data Sheet 5_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx

    Data Sheet 5_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

    Published 2025
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  6. 26
    Data Sheet 8_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx

    Data Sheet 8_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

    Published 2025
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  7. 27
    Data Sheet 6_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx

    Data Sheet 6_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

    Published 2025
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  8. 28
    Data Sheet 1_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx

    Data Sheet 1_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

    Published 2025
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  9. 29
    Data Sheet 3_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx

    Data Sheet 3_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

    Published 2025
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  10. 30
    Data Sheet 4_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx

    Data Sheet 4_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

    Published 2025
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  11. 31
    An optimal solution for the HFS instance.

    An optimal solution for the HFS instance. by Xiang Tian (4369285)

    Published 2025
    “…Secondly, based on the data libraries of the IPMMPO, two tuple sets suitable for constraint programming modeling are further designed as data preprocessing. …”
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  12. 32
    Presentation_1_Calibrating Seed-Based Heuristics to Map Short Reads With Sesame.zip

    Presentation_1_Calibrating Seed-Based Heuristics to Map Short Reads With Sesame.zip by Guillaume J. Filion (9027317)

    Published 2020
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  13. 33
    Performance of the greedy approximation algorithm.

    Performance of the greedy approximation algorithm. by Virgile Andreani (17087764)

    Published 2024
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  14. 34
    Flowchart depicting the optimal control framework.

    Flowchart depicting the optimal control framework. by Antoine Falisse (6061601)

    Published 2019
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  15. 35
    Summary of predictive performance per dataset when using gene-expression and clinical predictors and performing hyperparameter optimization.

    Summary of predictive performance per dataset when using gene-expression and clinical predictors and performing hyperparameter optimization. by Stephen R. Piccolo (8367780)

    Published 2022
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  16. 36
    Schematic diagram of the Dropout optimization.

    Schematic diagram of the Dropout optimization. by Peng Yang (296696)

    Published 2024
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  17. 37
    Summary of predictive performance per dataset when using gene-expression and clinical predictors and performing feature selection with hyperparameter optimization.

    Summary of predictive performance per dataset when using gene-expression and clinical predictors and performing feature selection with hyperparameter optimization. by Stephen R. Piccolo (8367780)

    Published 2022
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  18. 38
    Flat optimization method.

    Flat optimization method. by Nisha Ann Viswan (20371285)

    Published 2024
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  19. 39
    Summary of predictive performance per dataset when using gene-expression and clinical predictors and performing feature selection.

    Summary of predictive performance per dataset when using gene-expression and clinical predictors and performing feature selection. by Stephen R. Piccolo (8367780)

    Published 2022
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  20. 40
    Summary of datasets used.

    Summary of datasets used. by Stephen R. Piccolo (8367780)

    Published 2022
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