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Showing 1 - 20 results of 987 for search '(( library based method optimization algorithm ) OR ( genes based _ optimization algorithm ))', query time: 1.21s Refine Results
  1. 1
    Relative performance of classification algorithms using gene-expression and clinical predictors and performing feature selection.

    Relative performance of classification algorithms using gene-expression and clinical predictors and performing feature selection. by Stephen R. Piccolo (8367780)

    Published 2022
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  2. 2
    Gene-set overlap results for top 50 genes according to average rank across feature-selection algorithms for GSE46691.

    Gene-set overlap results for top 50 genes according to average rank across feature-selection algorithms for GSE46691. by Stephen R. Piccolo (8367780)

    Published 2022
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  3. 3
    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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  4. 4
    Top 50 genes according to average rank across feature-selection algorithms for GSE10320 and GSE46691.

    Top 50 genes according to average rank across feature-selection algorithms for GSE10320 and GSE46691. by Stephen R. Piccolo (8367780)

    Published 2022
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  5. 5
    Comparison of ranks for classification algorithms across performance metrics.

    Comparison of ranks for classification algorithms across performance metrics. by Stephen R. Piccolo (8367780)

    Published 2022
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  6. 6
    Tradeoff between execution time and predictive performance for classification algorithms.

    Tradeoff between execution time and predictive performance for classification algorithms. by Stephen R. Piccolo (8367780)

    Published 2022
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  7. 7
    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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  8. 8
    Relative predictive performance when training on gene-expression predictors alone vs. using clinical predictors alone or gene-expression predictors in combination with clinical predictors.

    Relative predictive performance when training on gene-expression predictors alone vs. using clinical predictors alone or gene-expression predictors in combination with clinical pre... by Stephen R. Piccolo (8367780)

    Published 2022
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  9. 9
    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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  10. 10
    Summary of predictive performance per dataset when using gene-expression predictors.

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

    Published 2022
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  11. 11
    Summary of predictive performance per dataset when using gene-expression and clinical predictors.

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

    Published 2022
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  12. 12
    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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  13. 13
    Summary of datasets used.

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

    Published 2022
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  14. 14
    Flat optimization method.

    Flat optimization method. by Nisha Ann Viswan (20371285)

    Published 2024
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  15. 15
    Summary of classification algorithms.

    Summary of classification algorithms. by Stephen R. Piccolo (8367780)

    Published 2022
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  16. 16
    Classification algorithm hyperparameter combinations.

    Classification algorithm hyperparameter combinations. by Stephen R. Piccolo (8367780)

    Published 2022
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  17. 17
    Summary of feature-selection algorithms.

    Summary of feature-selection algorithms. by Stephen R. Piccolo (8367780)

    Published 2022
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  18. 18
    Face recognition algorithm flow based on the PCA.

    Face recognition algorithm flow based on the PCA. by Na Lin (69470)

    Published 2025
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  19. 19
    A Practical Algorithm to Solve the Near-Congruence Problem for Rigid Molecules and Clusters

    A Practical Algorithm to Solve the Near-Congruence Problem for Rigid Molecules and Clusters by José Manuel Vásquez-Pérez (12843737)

    Published 2023
    “…The Fortran implementation of the algorithm is available as an open source library (https://github.com/qcuaeh/molalignlib) and is suitable to be used in global optimization methods for the identification of local minima or basins.…”
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  20. 20
    Feature-selection algorithm hyperparameter combinations.

    Feature-selection algorithm hyperparameter combinations. by Stephen R. Piccolo (8367780)

    Published 2022
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