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mixture optimization » feature optimization (Expand Search), structure optimization (Expand Search), resource optimization (Expand Search)
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Showing 1 - 20 results of 87 for search '(( binary data mixture optimization algorithm ) OR ( lines areas based optimization algorithm ))', query time: 1.09s Refine Results
  1. 1
    Optimization of image processing algorithms.

    Optimization of image processing algorithms. by Honghai Kuang (14883375)

    Published 2023
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  2. 2
    Contour lines of GDOP in parallelogram layout.

    Contour lines of GDOP in parallelogram layout. by Sheng Miao (14248110)

    Published 2022
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  3. 3
    Contour line of GDOP in triangle layout.

    Contour line of GDOP in triangle layout. by Sheng Miao (14248110)

    Published 2022
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  4. 4
    Contour lines of GDOP of five BSs using DBSS5.

    Contour lines of GDOP of five BSs using DBSS5. by Sheng Miao (14248110)

    Published 2022
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  5. 5
    Contour lines of GDOP of four BSs using DBSS4.

    Contour lines of GDOP of four BSs using DBSS4. by Sheng Miao (14248110)

    Published 2022
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  6. 6
    Predicting Thermal Decomposition Temperature of Binary Imidazolium Ionic Liquid Mixtures from Molecular Structures

    Predicting Thermal Decomposition Temperature of Binary Imidazolium Ionic Liquid Mixtures from Molecular Structures by Hongpeng He (348094)

    Published 2021
    “…This study is devoted to develop a quantitative structure–property relationship model for predicting the <i>T</i><sub>d</sub>,<sub>5%onset</sub> of binary imidazolium IL mixtures. Both in silico design and data analysis descriptors and norm index were employed to encode the structural characteristics of binary IL mixtures. …”
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  7. 7
    Spearman correlation coefficient results for classification algorithms (predicted probabilities) and regression algorithms (predicted IC50 values).

    Spearman correlation coefficient results for classification algorithms (predicted probabilities) and regression algorithms (predicted IC50 values). by Sofia P. Miranda (11418930)

    Published 2021
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  8. 8
    Classification results for all subsampling scenarios and algorithms for Gefitinib.

    Classification results for all subsampling scenarios and algorithms for Gefitinib. by Sofia P. Miranda (11418930)

    Published 2021
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  9. 9
    Regression results for all combinations of subsampling scenarios and algorithms for Gefitinib.

    Regression results for all combinations of subsampling scenarios and algorithms for Gefitinib. by Sofia P. Miranda (11418930)

    Published 2021
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  10. 10
    Average RMSE rank for all combinations of subsampling scenarios and algorithms.

    Average RMSE rank for all combinations of subsampling scenarios and algorithms. by Sofia P. Miranda (11418930)

    Published 2021
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  11. 11
    Summary of AUC values across all combinations of subsampling scenario and algorithm.

    Summary of AUC values across all combinations of subsampling scenario and algorithm. by Sofia P. Miranda (11418930)

    Published 2021
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  12. 12
    Most informative genes for predicting cell-line responses for Gefitinib.

    Most informative genes for predicting cell-line responses for Gefitinib. by Sofia P. Miranda (11418930)

    Published 2021
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  13. 13
    Descriptions of the algorithms we tested and hyperparameters that we evaluated via nested cross validation.

    Descriptions of the algorithms we tested and hyperparameters that we evaluated via nested cross validation. by Sofia P. Miranda (11418930)

    Published 2021
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  14. 14
    Minimum, mean and maximum RMSE value for each drug and algorithm combination, averaged across all subsampling scenarios.

    Minimum, mean and maximum RMSE value for each drug and algorithm combination, averaged across all subsampling scenarios. by Sofia P. Miranda (11418930)

    Published 2021
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  15. 15
    Minimum, mean and maximum AUC value for each combination of drug and algorithm, averaged across all subsampling scenarios.

    Minimum, mean and maximum AUC value for each combination of drug and algorithm, averaged across all subsampling scenarios. by Sofia P. Miranda (11418930)

    Published 2021
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  16. 16
    Predicting patient drug response from cell-line methylation profiles for Temozolomide (n = 85).

    Predicting patient drug response from cell-line methylation profiles for Temozolomide (n = 85). by Sofia P. Miranda (11418930)

    Published 2021
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  17. 17
    Histograms for each drug based on drug response (IC<sub>50</sub> values) for the GDSC dataset.

    Histograms for each drug based on drug response (IC<sub>50</sub> values) for the GDSC dataset. by Sofia P. Miranda (11418930)

    Published 2021
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  18. 18
    Correlation between predicted drug responses based on GDSC cell lines and recorded clinical responses in TCGA patients for selected combinations of subsampling scenarios and algorithms across all drugs.

    Correlation between predicted drug responses based on GDSC cell lines and recorded clinical responses in TCGA patients for selected combinations of subsampling scenarios and algori... by Sofia P. Miranda (11418930)

    Published 2021
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  19. 19
    Simulation of dense parameter pairs and optimal model output.

    Simulation of dense parameter pairs and optimal model output. by Yen-Ju Chen (354876)

    Published 2025
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  20. 20
    Graphs for Docetaxel classification analysis.

    Graphs for Docetaxel classification analysis. by Sofia P. Miranda (11418930)

    Published 2021
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