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Showing 1 - 20 results of 35 for search '(( library based step optimization algorithm ) OR ( binary image codon optimization algorithm ))', query time: 0.63s Refine Results
  1. 1
    Summary of classification algorithms.

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

    Published 2022
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  2. 2
    Classification algorithm hyperparameter combinations.

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

    Published 2022
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  3. 3
    Summary of feature-selection algorithms.

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

    Published 2022
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  4. 4
    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
    “…We present an improved algorithm to solve the near-congruence problem for rigid molecules and clusters based on the iterative application of assignment and alignment steps with biased Euclidean costs. …”
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  5. 5
    Feature-selection algorithm hyperparameter combinations.

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

    Published 2022
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  6. 6
    Library of the 55 different classification and regression machine-learning algorithms used by the ensemble predictor SuperLearner (SL.library) in the CBDA 2.0 implementation.

    Library of the 55 different classification and regression machine-learning algorithms used by the ensemble predictor SuperLearner (SL.library) in the CBDA 2.0 implementation. by Simeone Marino (81051)

    Published 2020
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  7. 7
    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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  8. 8
    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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  9. 9
    Relative classification performance per combination of feature-selection and classification algorithm.

    Relative classification performance per combination of feature-selection and classification algorithm. by Stephen R. Piccolo (8367780)

    Published 2022
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  10. 10
    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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  11. 11
    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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  12. 12
    Relative predictive performance when using default algorithm hyperparameters and all features vs. tuning hyperparameters or selecting features.

    Relative predictive performance when using default algorithm hyperparameters and all features vs. tuning hyperparameters or selecting features. by Stephen R. Piccolo (8367780)

    Published 2022
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  13. 13
    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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  14. 14
    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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  15. 15
    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. 16
    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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  17. 17
    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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  18. 18
    Summary of datasets used.

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

    Published 2022
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  19. 19
    Summary of predictive performance per dataset when using clinical predictors.

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

    Published 2022
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  20. 20
    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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