Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.

Abstract: Datasets used in data analysis often contain irrelevant or redundant attributes. These attributes hinder the performance of predictive models. Therefore, an effective preprocessing feature ...

Abstract: In many real-world scenarios, features could arrive in groups over time, and the total size of the feature space is often unknown. Streaming feature selection is a commonly-used approach to ...