Search alternatives:
complement component » complex components (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
level coding » level according (Expand Search), level modeling (Expand Search), level using (Expand Search)
g algorithm » _ algorithm (Expand Search), b algorithm (Expand Search), gnb algorithm (Expand Search)
element g » element _ (Expand Search), elements _ (Expand Search)
Showing 201 - 220 results of 674 for search '(((( complement component algorithm ) OR ( element g algorithm ))) OR ( level coding algorithm ))*', query time: 0.49s Refine Results
  1. 201
    values scored by the different regression algorithms. Linear Regression (LR), Random Forest (RF), Decision Tree (DT), X Gradient Boosting(XGB), Support Vector Machine (SVM), Gradient Boosting (GB) and AdaBoost (AB).

    values scored by the different regression algorithms. Linear Regression (LR), Random Forest (RF), Decision Tree (DT), X Gradient Boosting(XGB), Support Vector Machine (SVM), Gradie... by Itxasne Antúnez Sáenz (22794696)

    Published 2025
    Save to List
    Saved in:
  2. 202
    Computation time as a function of the sample size on the chain graph dataset.

    Computation time as a function of the sample size on the chain graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
    Save to List
    Saved in:
  3. 203
    Computation time as a function of the sample size on the random graph dataset.

    Computation time as a function of the sample size on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
    Save to List
    Saved in:
  4. 204
    Number of edges selected through cross-validation on the chain graph dataset.

    Number of edges selected through cross-validation on the chain graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
    Save to List
    Saved in:
  5. 205
    Number of edges selected through cross-validation on the random graph dataset.

    Number of edges selected through cross-validation on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
    Save to List
    Saved in:
  6. 206
    Computation time as a function of the number of variables on the chain graph dataset.

    Computation time as a function of the number of variables on the chain graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
    Save to List
    Saved in:
  7. 207
    Computation time as a function of the number of variables on the random graph dataset.

    Computation time as a function of the number of variables on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
    Save to List
    Saved in:
  8. 208
    F1 score of edges selected through cross-validation on the chain graph dataset.

    F1 score of edges selected through cross-validation on the chain graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
    Save to List
    Saved in:
  9. 209
    F1 score of a given number of selected edges on the chain graph dataset.

    F1 score of a given number of selected edges on the chain graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
    Save to List
    Saved in:
  10. 210
    F1 score of a given number of selected edges on the random graph dataset.

    F1 score of a given number of selected edges on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
    Save to List
    Saved in:
  11. 211
    F1 score of edges selected through cross-validation on the random graph dataset.

    F1 score of edges selected through cross-validation on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
    Save to List
    Saved in:
  12. 212
    Log-likelihood as a function of the number of selected edges on the chain graph dataset (black dashed line: The true number of edges).

    Log-likelihood as a function of the number of selected edges on the chain graph dataset (black dashed line: The true number of edges). by Tomokaze Shiratori (9635271)

    Published 2024
    Save to List
    Saved in:
  13. 213
    Log-likelihood as a function of the number of selected edges on the random graph dataset (black dashed line: The true number of edges).

    Log-likelihood as a function of the number of selected edges on the random graph dataset (black dashed line: The true number of edges). by Tomokaze Shiratori (9635271)

    Published 2024
    Save to List
    Saved in:
  14. 214
    Examples of ground-truth graph structures with (<i>p</i>, <i>n</i><sub>≠0</sub>) = (10, 10).

    Examples of ground-truth graph structures with (<i>p</i>, <i>n</i><sub>≠0</sub>) = (10, 10). by Tomokaze Shiratori (9635271)

    Published 2024
    Save to List
    Saved in:
  15. 215
    Graphs of the regularization terms.

    Graphs of the regularization terms. by Tomokaze Shiratori (9635271)

    Published 2024
    Save to List
    Saved in:
  16. 216
    Calibration capacitors (see Fig 2C), phases for the benchtop test, and <i>S</i><sub><i>nn</i></sub> scattering parameters with analogous phase MRI calibration values for each element of the 4-channel PTX coil configuration.

    Calibration capacitors (see Fig 2C), phases for the benchtop test, and <i>S</i><sub><i>nn</i></sub> scattering parameters with analogous phase MRI calibration values for each eleme... by Maryam Arianpouya (12299222)

    Published 2024
    Save to List
    Saved in:
  17. 217
    Contact force profile of eggs in the improved egg carriers.

    Contact force profile of eggs in the improved egg carriers. by Ronghua Meng (20978441)

    Published 2025
    Save to List
    Saved in:
  18. 218
    Contact force on eggs during transport in old egg carrier.

    Contact force on eggs during transport in old egg carrier. by Ronghua Meng (20978441)

    Published 2025
    Save to List
    Saved in:
  19. 219
    Angular velocity of eggs versus angular velocity of improved egg carriers.

    Angular velocity of eggs versus angular velocity of improved egg carriers. by Ronghua Meng (20978441)

    Published 2025
    Save to List
    Saved in:
  20. 220
    Changes in the centre of mass of the egg during transport with the improved egg carrier.

    Changes in the centre of mass of the egg during transport with the improved egg carrier. by Ronghua Meng (20978441)

    Published 2025
    Save to List
    Saved in:

Search Tools: