AI recommendations are decided upstream. Understand the 10-gate pipeline, where brands fail, and how small improvements ...

In recent years, the growing demand for urban commuting has driven the rapid development of subway systems, which have been evolving toward higher density ...

Abstract: Machine learning has been successfully applied to drug combination prediction in recent years. However, in some situations, the class imbalance problem still shows highly negative impacts on ...

Abstract: Big data mining is one of the major challenging research issues in the field of machine learning for data mining applications in this present digital era. Big data consists of 3V’s: (1) ...

Additive models with interactions (like GA²Ms) have an identifiability problem: effects can be freely shifted between main effects and interactions without changing model predictions. This allows ...