US Patent Issued to Capital One Services on June 2 for "Systems and methods for generating synthetic training datasets for training machine learning models in training data-sparse environments for non-homogenous predictions" (New York, Massachusetts, District Of Columbia Inventors)

ALEXANDRIA, Va., June 2 -- United States Patent no. 12,646,346, issued on June 2, was assigned to Capital One Services LLC (McLean, Va.).

"Systems and methods for generating synthetic training datasets for training machine learning models in training data-sparse environments for non-homogenous predictions" was invented by Tyler Maiman (Melville, N.Y.), Kevin Osborn (Newton Highlands, Mass.) and Shabnam Kousha (Washington).

According to the abstract* released by the U.S. Patent & Trademark Office: "In some embodiments, generating synthetic training datasets for training machine learning models in training data-sparse environments for non-homogenous predictions may be facilitated. In some embodiments, user-specific information associated wi...