A random forest with multi-fidelity Gaussian process leaves for modeling multi-fidelity data with heterogeneity

Keyphrases

• Random Forest 100%
• Low-fidelity Model 100%
• Multi-Fidelity Gaussian Process 100%
• Multi-fidelity Data 100%
• Multi-fidelity Modeling 66%
• High-fidelity Model 66%
• Performance Prediction 33%
• High Dimension 33%
• Modeling Time 33%
• Data Correlation 33%
• Uncertainty Quantification 33%
• Tree Ensembles 33%
• Gaussian Process Model 33%
• Modeling Performance 33%
• Multi-fidelity 33%
• Input Space 33%
• Numerical Examples 33%
• Ensemble Structure 33%
• Numerical Cases 33%
• Data Heterogeneity 33%
• Cross-level 33%
• Heterogeneous Behavior 33%

Computer Science

• Random Decision Forest 100%
• Case Study 50%
• Performance Model 50%
• Extracted Information 50%
• Predicted Value 50%
• Prediction Performance 50%
• Numerical Example 50%
• Data Correlation 50%
• Data Heterogeneity 50%
• gaussian process model 50%

Engineering

• Random Forest 100%
• Gaussians 100%
• Model Fidelity 100%
• Uncertainty Quantification 14%
• Predicted Value 14%
• Limited Amount 14%
• Prediction Performance 14%
• Numerical Example 14%
• Input Space 14%