ALEXANDRIA, Va., May 26 -- United States Patent no. 12,639,637, issued on May 26.
"System and method of training machine-learning-based model" was invented by Igal Mazor (Tel Aviv, Israel).
According to the abstract* released by the U.S. Patent & Trademark Office: "A system and method of training a machine-learning (ML) based model by at least one processor may include receiving an initial dataset, including a plurality of annotated data samples; based on the initial dataset, training at least one ML-based first-level model to perform a first-level task; based on training the at least one ML-based first-level model, calculating at least one characteristic, representing, for each data sample, a value of contribution into a training of a ML...