Search alternatives:
feature optimization » resource optimization (Expand Search), feature elimination (Expand Search), structure optimization (Expand Search)
driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
data feature » data figure (Expand Search), each feature (Expand Search), a feature (Expand Search)
binary mapk » binary mask (Expand Search), binary image (Expand Search)
Showing 1 - 20 results of 73 for search '(( history data feature optimization algorithm ) OR ( binary mapk driven optimization algorithm ))', query time: 0.58s Refine Results
  1. 1
    Comparative analysis of model performance indicators and diagnostic visualizations for full-featured and simplified models across ten algorithms.

    Comparative analysis of model performance indicators and diagnostic visualizations for full-featured and simplified models across ten algorithms. by Aref Andishgar (18155608)

    Published 2024
    Save to List
    Saved in:
  2. 2
    History of Process Transformation

    History of Process Transformation by de Wit Coetsee (21380672)

    Published 2025
    Save to List
    Saved in:
  3. 3
    Input features.

    Input features. by Nicola Lazzarini (3528197)

    Published 2022
    Save to List
    Saved in:
  4. 4
    Age feature importance.

    Age feature importance. by Nicola Lazzarini (3528197)

    Published 2022
    Save to List
    Saved in:
  5. 5
    ROC area for the ML algorithms applied on Dataset 3.

    ROC area for the ML algorithms applied on Dataset 3. by Murad Al-Rajab (10661360)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  6. 6
    Classification accuracy for the ML algorithms applied to Dataset 3.

    Classification accuracy for the ML algorithms applied to Dataset 3. by Murad Al-Rajab (10661360)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  7. 7
    Classification accuracy for the ML algorithms applied to Dataset 2.

    Classification accuracy for the ML algorithms applied to Dataset 2. by Murad Al-Rajab (10661360)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  8. 8
    ROC area for the ML algorithms applied to Dataset 1.

    ROC area for the ML algorithms applied to Dataset 1. by Murad Al-Rajab (10661360)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  9. 9
    ROC area for the ML algorithms applied to Dataset 2.

    ROC area for the ML algorithms applied to Dataset 2. by Murad Al-Rajab (10661360)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  10. 10
    Confusion matrix for the ML algorithms applied to Dataset 2.

    Confusion matrix for the ML algorithms applied to Dataset 2. by Murad Al-Rajab (10661360)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  11. 11
    Classification accuracy for the ML algorithms applied to Dataset 1.

    Classification accuracy for the ML algorithms applied to Dataset 1. by Murad Al-Rajab (10661360)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  12. 12
    Most important predictive features.

    Most important predictive features. by Nicola Lazzarini (3528197)

    Published 2022
    Save to List
    Saved in:
  13. 13
    ML confusion matrix for the ML algorithms applied to Dataset 1.

    ML confusion matrix for the ML algorithms applied to Dataset 1. by Murad Al-Rajab (10661360)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  14. 14
    ML confusion matrix for the ML algorithms applied to Dataset 3.

    ML confusion matrix for the ML algorithms applied to Dataset 3. by Murad Al-Rajab (10661360)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  15. 15
    Summary of ROC area for the ML algorithms applied to all datasets.

    Summary of ROC area for the ML algorithms applied to all datasets. by Murad Al-Rajab (10661360)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  16. 16
    History of the total number of births to U.S. residents per year and the adoption growth of the <i>2003 Revised Birth Certificate</i>.

    History of the total number of births to U.S. residents per year and the adoption growth of the <i>2003 Revised Birth Certificate</i>. by Karl W. Schulz (14309461)

    Published 2022
    Save to List
    Saved in:
  17. 17
    The number of relevant genes (features) selected by the proposed model on each phase.

    The number of relevant genes (features) selected by the proposed model on each phase. by Murad Al-Rajab (10661360)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  18. 18
    Description, feature counts, and data partitioning of the MIMIC-III clinical database (v1.4) used in this study. The table categorizes patient data into three main relevant modalities: clinical data, medical history, and medical imaging. The approximate number of instances of each type of feature is recorded on the Count column: it is an indicator of the scale and variety of the dataset. Datas were separated into training (75 percent), validation (10 percent) and test (15 percent) sets to maintain patient level separation to prevent data leakage.

    Description, feature counts, and data partitioning of the MIMIC-III clinical database (v1.4) used in this study. The table categorizes patient data into three main relevant modalit... by Medhat A. Tawfeek (22522087)

    Published 2025
    Save to List
    Saved in:
  19. 19
    PCA for exploring the data structure of the datasets.

    PCA for exploring the data structure of the datasets. by Murad Al-Rajab (10661360)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  20. 20
    Data_Sheet_1_An Evolutionary Algorithm to Personalize Stool-Based Colorectal Cancer Screening.pdf

    Data_Sheet_1_An Evolutionary Algorithm to Personalize Stool-Based Colorectal Cancer Screening.pdf by Luuk A. van Duuren (12001607)

    Published 2022
    Save to List
    Saved in:

Search Tools: