Imbalanced class problems appear in many real applications of classification learning. We propose a novel sampling method to improve bagging for data sets with skewed class distri...
This paper presents a retrospective data analysis on how 75 clinicians searched for and accessed biomedical literature from an online information retrieval system to answer six cl...
Reputation System provides a way to maintain trust through social control by utilizing feedbacks about the service providers’ past behaviors. Conventional Memory-based Reputatio...
When we have several related tasks, solving them simultaneously is shown to be more effective than solving them individually. This approach is called multi-task learning (MTL) and...
Maximum entropy analysis of binary variables provides an elegant way for studying the role of pairwise correlations in neural populations. Unfortunately, these approaches suffer f...