Search alternatives:
bayesian optimization » based optimization (Expand Search)
access optimization » process optimization (Expand Search), stress optimization (Expand Search), process optimisation (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data access » data across (Expand Search), water access (Expand Search)
Showing 1 - 14 results of 14 for search '(( lines based bayesian optimization algorithm ) OR ( binary data access optimization algorithm ))', query time: 0.66s Refine Results
  1. 1
    Sensitivity analysis of the TV-BayesOpt algorithm with a forgetting (orange line) or a forgetting-periodic (blue line) covariance function for a range of ε values.

    Sensitivity analysis of the TV-BayesOpt algorithm with a forgetting (orange line) or a forgetting-periodic (blue line) covariance function for a range of ε values. by John E. Fleming (8533956)

    Published 2023
    Save to List
    Saved in:
  2. 2
    Construction of kinetic data based on the Arrhenius equation with distributed activation energy.

    Construction of kinetic data based on the Arrhenius equation with distributed activation energy. by László Zimányi (2649973)

    Published 2021
    Save to List
    Saved in:
  3. 3
    Model selection by BO based on RCV(nv) from the simulated data with different noise levels.

    Model selection by BO based on RCV(nv) from the simulated data with different noise levels. by László Zimányi (2649973)

    Published 2021
    Save to List
    Saved in:
  4. 4
    Sensitivity analysis of the TV-BayesOpt algorithm performance at tracking a periodic temporal drift when the period of the drift is offset from the covariance function period anticipated by the TV-BayesOpt algorithm.

    Sensitivity analysis of the TV-BayesOpt algorithm performance at tracking a periodic temporal drift when the period of the drift is offset from the covariance function period antic... by John E. Fleming (8533956)

    Published 2023
    Save to List
    Saved in:
  5. 5
    Parameter space exploration in comparison to exploitation for the selection of samples during Bayesian Optimization.

    Parameter space exploration in comparison to exploitation for the selection of samples during Bayesian Optimization. by John E. Fleming (8533956)

    Published 2023
    Save to List
    Saved in:
  6. 6
    Results of simulating the ability of pBO, BO and random search algorithms on identifying the optima in the Hartmann 3-dimensional surface.

    Results of simulating the ability of pBO, BO and random search algorithms on identifying the optima in the Hartmann 3-dimensional surface. by Nienke E. R. van Bueren (11414330)

    Published 2021
    Save to List
    Saved in:
  7. 7
    Heatmap of control parameters from CoCaBO.

    Heatmap of control parameters from CoCaBO. by Xianglong Tan (2818864)

    Published 2022
    Save to List
    Saved in:
  8. 8
    Drawing procedure.

    Drawing procedure. by Xianglong Tan (2818864)

    Published 2022
    Save to List
    Saved in:
  9. 9
    Model-based sex classification accuracies.

    Model-based sex classification accuracies. by Kevin J. Wischnewski (21354521)

    Published 2025
    Save to List
    Saved in:
  10. 10
    MCLP_quantum_annealer_V0.5

    MCLP_quantum_annealer_V0.5 by Anonymous Anonymous (4854526)

    Published 2025
    Save to List
    Saved in:
  11. 11
    Examples of model selection methods for the PHMM.

    Examples of model selection methods for the PHMM. by Tianshu Li (1527088)

    Published 2025
    Save to List
    Saved in:
  12. 12
    An overview of the AutoPrognosis framework.

    An overview of the AutoPrognosis framework. by Yuchao Qin (14419669)

    Published 2023
    “…The optimal ensemble is selected based on the configured performance metric. …”
    Save to List
    Saved in:
  13. 13
    Data_Sheet_1_Alzheimer’s Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield and Amygdala Volume of Structural MRI.pdf

    Data_Sheet_1_Alzheimer’s Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield... by Uttam Khatri (12689072)

    Published 2022
    “…Finally, we implemented and compared the different feature selection algorithms to integrate the structural features, brain networks, and voxel features to optimize the diagnostic identifications of AD using support vector machine (SVM) classifiers. …”
    Save to List
    Saved in:
  14. 14
    Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles

    Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles by Soham Savarkar (21811825)

    Published 2025
    “…Data sources included peer-reviewed publications and reputable open-access repositories such as the NanoPharos database. …”
    Save to List
    Saved in:

Search Tools: