US Patent Issued to Kinaxis on Oct. 20 for "Systems and methods for machine learning interpretability" (Canadian Inventors)

ALEXANDRIA, Va., Oct. 21 -- United States Patent no. 12,770,051, issued on Oct. 20, was assigned to Kinaxis Inc. (Ottawa).

"Systems and methods for machine learning interpretability" was invented by Behrouz Haji Soleimani (Halifax, Canada), Andrea Pagotto (Ottawa), Seyednaser Nourashrafeddin (Ottawa) and Chantal Bisson-Krol (Kanata, Canada).

According to the abstract* released by the U.S. Patent & Trademark Office: "Methods and systems that provide machine learning interpretability. SHAP values of historical and predicted data, along with features of both, are used to provide a measure of the impact of training data points on a predictions. Removal of an individual training data point from a training data set, followed by comparing the re...