US Patent Issued to BitsBody on Jan. 20 for "Generating new data based on class-specific uncertainty information using machine learning" (California Inventor)

ALEXANDRIA, Va., Jan. 20 -- United States Patent no. 12,530,622, issued on Jan. 20, was assigned to BitsBody LLC (Fresno, Calif.).

"Generating new data based on class-specific uncertainty information using machine learning" was invented by Mozammil Hussain (Fresno, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A system and related methods for generating class-specific data are disclosed. The data belong to an input space with an unknown initial probability distribution and a known classification scheme. From a relatively small, unbalanced dataset of samples with respect to the classification scheme in the input space, the system is programmed to learn a series of invertible transformations from the i...