Abstract: Recently, Optimal Transport has been proposed as a probabilistic framework in Machine Learning for comparing and manipulating probability distributions. This is rooted in its rich history ...
Abstract: In the actual working environment, mechanical equipment is in normal operation for a long time, which leads to unbalanced sample data collected and will be accompanied by problems such as ...