Pages that link to "Item:Q3529909"

The following pages link to Sample Selection Bias Correction Theory (Q3529909):

Displaying 19 items.

• Domain adaptation and sample bias correction theory and algorithm for regression (Q391745) (← links)
• Transition thresholds and transition operators for binarization and edge detection (Q991922) (← links)
• Relative deviation learning bounds and generalization with unbounded loss functions (Q1714946) (← links)
• Correcting classifiers for sample selection bias in two-phase case-control studies (Q1784139) (← links)
• A theory of learning from different domains (Q1959571) (← links)
• A no-free-lunch theorem for multitask learning (Q2112800) (← links)
• Local uncertainty sampling for large-scale multiclass logistic regression (Q2196246) (← links)
• Binary surrogates with stratified samples when weights are unknown (Q2418066) (← links)
• Tweedie’s Formula and Selection Bias (Q3225821) (← links)
• A theoretical framework for deep transfer learning (Q4603722) (← links)
• (Q4633010) (← links)
• (Q4998861) (← links)
• Small sample bias correction or bias reduction? (Q5082600) (← links)
• (Q5159394) (← links)
• Mismatched Training and Test Distributions Can Outperform Matched Ones (Q5380204) (← links)
• A Bayesian approach to (online) transfer learning: theory and algorithms (Q6066772) (← links)
• 2-step gradient boosting approach to selectivity bias correction in tax audit: an application to the VAT gap in Italy (Q6163506) (← links)
• Correcting prevalence estimation for biased sampling with testing errors (Q6189832) (← links)
• Adaptive KNN and graph-based auto-weighted multi-view consensus spectral learning (Q6203497) (← links)