Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space
Estimating the post-click conversion rate (CVR) accurately in ranking systems is crucial in
industrial applications. However, this task is often challenged by data sparsity and selection …
industrial applications. However, this task is often challenged by data sparsity and selection …
Identification and verification of diagnostic biomarkers for deep infiltrating endometriosis based on machine learning algorithms
S Shi, C Huang, X Tang, H Liu, W Feng… - Journal of Biological …, 2024 - Springer
This study addresses the challenges in the early diagnosis of deep infiltrating endometriosis
(DIE) by exploring the potential role of the deubiquitinating enzyme USP14. By analyzing the …
(DIE) by exploring the potential role of the deubiquitinating enzyme USP14. By analyzing the …
A multi-view multi-label learning with incomplete data and self-adaptive correlations
C Zhu, L Han - International Journal of Machine Learning and …, 2025 - Springer
Multi-view multi-label (MVML) learning aims to process MVML data sets represented with
multiple feature sets (ie, views) and labeled with multiple class labels. While in current …
multiple feature sets (ie, views) and labeled with multiple class labels. While in current …
AUC Optimization from Multiple Unlabeled Datasets
Weakly supervised learning aims to make machine learning more powerful when the perfect
supervision is unavailable, and has attracted much attention from researchers. Among the …
supervision is unavailable, and has attracted much attention from researchers. Among the …
Ambiguity-Aware Abductive Learning
Abductive Learning (ABL) is a promising framework for integrating sub-symbolic perception
and logical reasoning through abduction. In this case, the abduction process provides …
and logical reasoning through abduction. In this case, the abduction process provides …
AUC Maximization under Positive Distribution Shift
Maximizing the area under the receiver operating characteristic curve (AUC) is a popular
approach to imbalanced binary classification problems. Existing AUC maximization methods …
approach to imbalanced binary classification problems. Existing AUC maximization methods …