US Patent Issued to Verizon Patent and Licensing on Sept. 2 for "Systems and methods for reducing problematic correlations between features from machine learning model data" (Illinois Inventor)

ALEXANDRIA, Va., Sept. 3 -- United States Patent no. 12,406,191, issued on Sept. 2, was assigned to Verizon Patent and Licensing Inc. (Basking Ridge, N.J.).

"Systems and methods for reducing problematic correlations between features from machine learning model data" was invented by Kevin Perkins (Champaign, Ill.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A device may receive a structured dataset, a feature of the structured dataset, and a protected categorical dimension of the structured dataset, and may stratify the structured dataset into subsets by filtering the structured dataset based on the protected categorical dimension. The device may apply a quantile transform to data of the subsets, associated...