Search alternatives:
models optimization » model optimization (Expand Search), process optimization (Expand Search), wolf optimization (Expand Search)
dietary data » history data (Expand Search)
Showing 1 - 20 results of 47 for search 'dietary data models optimization algorithm*', query time: 0.35s Refine Results
  1. 1
    Default and optimized parameters for each predictive model.

    Default and optimized parameters for each predictive model. by Emily S. Nichols (8740029)

    Published 2022
    Save to List
    Saved in:
  2. 2
    Nutrient predictors of the model.

    Nutrient predictors of the model. by Jari Turkia (17912475)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  3. 3
    Comparison of model structures for personal nutrient effects.

    Comparison of model structures for personal nutrient effects. by Jari Turkia (17912475)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  4. 4
    Correlation plot of matrix C<sub><i>b</i></sub> that includes the estimated within-model and cross-model correlations of personal effects.

    Correlation plot of matrix C<sub><i>b</i></sub> that includes the estimated within-model and cross-model correlations of personal effects. by Jari Turkia (17912475)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  5. 5
    Correlation plot of matrix C<sub><i>g</i></sub> that includes the estimated within-model and cross-model correlations in level of dialysis treatment.

    Correlation plot of matrix C<sub><i>g</i></sub> that includes the estimated within-model and cross-model correlations in level of dialysis treatment. by Jari Turkia (17912475)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  6. 6
    Posterior predictive check (PPC) of the final nutritional effect model.

    Posterior predictive check (PPC) of the final nutritional effect model. by Jari Turkia (17912475)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  7. 7
    Structure of the graphical model with general, treatment, and personal level nutrient effects.

    Structure of the graphical model with general, treatment, and personal level nutrient effects. by Jari Turkia (17912475)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  8. 8
    Data collection during the patients’ usual treatment routine.

    Data collection during the patients’ usual treatment routine. by Jari Turkia (17912475)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  9. 9
    The comparison of the accuracy score of the benchmark and the proposed models.

    The comparison of the accuracy score of the benchmark and the proposed models. by Uğur Ejder (22683228)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  10. 10
    The prediction accuracy of simple versus hybrid models.

    The prediction accuracy of simple versus hybrid models. by Uğur Ejder (22683228)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  11. 11
    Top-performing model configuration and performance by algorithm type.

    Top-performing model configuration and performance by algorithm type. by Uğur Ejder (22683228)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  12. 12
    Figure shows normalized root mean square error (NRMSE) of the two-level model for each patient.

    Figure shows normalized root mean square error (NRMSE) of the two-level model for each patient. by Jari Turkia (17912475)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  13. 13
    Flow diagram of the proposed model.

    Flow diagram of the proposed model. by Uğur Ejder (22683228)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  14. 14
    Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%).

    Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%). by Uğur Ejder (22683228)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  15. 15
    Personal algorithmic recommendations of potassium and phosphorous intake and the corresponding concentration predictions.

    Personal algorithmic recommendations of potassium and phosphorous intake and the corresponding concentration predictions. by Jari Turkia (17912475)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  16. 16
    The accuracy score change matrix following model development.

    The accuracy score change matrix following model development. by Uğur Ejder (22683228)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  17. 17
    The statistical description of the original data set of the patients (<i>n</i> = 162).

    The statistical description of the original data set of the patients (<i>n</i> = 162). by Uğur Ejder (22683228)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  18. 18
    The list of parameters of the modified data set for machine learning (<i>n</i> = 162).

    The list of parameters of the modified data set for machine learning (<i>n</i> = 162). by Uğur Ejder (22683228)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  19. 19
    Confusion matrix of the ABC–LR–RF hybrid model for IVF outcome prediction.

    Confusion matrix of the ABC–LR–RF hybrid model for IVF outcome prediction. by Uğur Ejder (22683228)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  20. 20
    Calibration curve of the ABC–LR–RF hybrid model for IVF outcome prediction.

    Calibration curve of the ABC–LR–RF hybrid model for IVF outcome prediction. by Uğur Ejder (22683228)

    Published 2025
    Subjects:
    Save to List
    Saved in:

Search Tools: