Abstract: Discovering hidden pattern from imbalanced data is a critical issue in various real-world applications. Existing classification methods usually suffer from the limitation of data especially ...

R programming language provides a rich collection of packages for building and analyzing finite mixture models which are widely used in unsupervised learning such as model-based clustering and density ...

Abstract: Multi-modal data presents a promising opportunity for improving multimedia recommendation models, but it also introduces task-irrelevant noise that can reduce model robustness. In this paper ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...