US Patent Issued on Aug. 4 for "Machine learning classification with confidence threshold and similarity-based validation" (Israeli Inventor)

ALEXANDRIA, Va., Aug. 5 -- United States Patent no. 12,699,926, issued on Aug. 4.

"Machine learning classification with confidence threshold and similarity-based validation" was invented by Igal Mazor (Tel-Aviv, Israel).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method and a system for improving classification of data samples, which may be considered as class outliers, are claimed. The method includes inferring a pretrained classifying ML-based model on the incoming data sample, to assign a particular class of a plurality of classes thereto; calculating a similarity metric value representing a degree of similarity between the incoming data sample and one or more previously classified data samples of the...