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Showing 1 - 20 results of 270 for search '(( library based based optimization algorithm ) OR ( binary _ random optimization algorithm ))*', query time: 1.02s Refine Results
  1. 1
    Examples of random events and the respective binary outcome.

    Examples of random events and the respective binary outcome. by Matheus Sant’Ana Lima (9937809)

    Published 2021
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  2. 2
    <i>De Novo</i> Drug Design of Targeted Chemical Libraries Based on Artificial Intelligence and Pair-Based Multiobjective Optimization

    <i>De Novo</i> Drug Design of Targeted Chemical Libraries Based on Artificial Intelligence and Pair-Based Multiobjective Optimization by Alberga Domenico (9356272)

    Published 2020
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  3. 3
    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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  4. 4
    Random forest with hyperparameter optimization.

    Random forest with hyperparameter optimization. by Balraj Preet Kaur (20370832)

    Published 2024
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  5. 5
    Summary of classification algorithms.

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

    Published 2022
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  6. 6
    Best optimizer results for random forest.

    Best optimizer results for random forest. by Balraj Preet Kaur (20370832)

    Published 2024
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  7. 7
    Best optimizer results of Random Forest.

    Best optimizer results of Random Forest. by Balraj Preet Kaur (20370832)

    Published 2024
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  8. 8
    Classification algorithm hyperparameter combinations.

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

    Published 2022
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  9. 9
    Summary of feature-selection algorithms.

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

    Published 2022
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  10. 10
    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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  11. 11
    Feature-selection algorithm hyperparameter combinations.

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

    Published 2022
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  12. 12
    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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  13. 13
    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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  14. 14
    RosettaAMRLD: A Reaction-Driven Approach for Structure-Based Drug Design from Combinatorial Libraries with Monte Carlo Metropolis Algorithms

    RosettaAMRLD: A Reaction-Driven Approach for Structure-Based Drug Design from Combinatorial Libraries with Monte Carlo Metropolis Algorithms by Yidan Tang (6623693)

    Published 2025
    “…The Rosetta automated Monte Carlo reaction-based ligand design (RosettaAMRLD) integrates a Monte Carlo Metropolis (MCM) algorithm and reaction-driven molecule proposal to enhance structure-based <i>de novo</i> drug discovery. …”
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  15. 15
    Results of Random Forest.

    Results of Random Forest. by Balraj Preet Kaur (20370832)

    Published 2024
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  16. 16
    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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  17. 17
    Comparison based on hard instances from [79].

    Comparison based on hard instances from [79]. 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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  18. 18
    Train test validation libraries.

    Train test validation libraries. by Muhammad Usman Tariq (11022141)

    Published 2021
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  19. 19
    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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  20. 20
    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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