A Domain Adaptation Approach for Performance Estimation of Spatial Predictions

Keyphrases

• Spatial Prediction 100%
• Performance Estimation 100%
• Domain Adaptation 100%
• Weighted Source 100%
• Risk Sources 100%
• Adaptation Approach 100%
• Data Splitting 50%
• Splitting Scheme 50%
• France 25%
• Machine Learning 25%
• Learning Task 25%
• Holdout 25%
• Training Data 25%
• Prediction Error 25%
• Unbiased Estimator 25%
• Down-weighting 25%
• Principled Approach 25%
• Common Data 25%
• Typical Data 25%
• K-fold Cross-validation 25%
• Supervised Learning 25%
• Empirical Risk 25%
• Empirical Risk Minimization 25%
• Risk Estimator 25%
• Risk Relevance 25%
• Air Temperature Prediction 25%
• Biased Estimate 25%
• Unweighted 25%
• Learning Literature 25%
• Prediction Risk 25%

Mathematics

• Domain Adaptation 100%
• Simulated Data 50%
• Superiority 50%
• Unbiased Estimator 50%
• Cross-Validation 50%
• Training Data 50%
• Prediction Error 50%
• Learning Task 50%
• Biased Estimate 50%
• Empirical Risk Minimization 50%