US Patent Issued to YAHOO ASSETS on Jan. 28 for "System and method for model-agnostic meta-learner for noisy data with label errors" (California Inventor)

ALEXANDRIA, Va., Jan. 29 -- United States Patent no. 12,210,588, issued on Jan. 28, was assigned to YAHOO ASSETS LLC (Dulles, Va.).

"System and method for model-agnostic meta-learner for noisy data with label errors" was invented by Eliyar Asgarieh (Mountain View, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "The present teaching relates to method, system, medium, and implementations for machine learning. Machine learning is performed based on training data via a dual loop learning process that includes a first loop for data decoding learning and a second loop for label decoding learning. In the first loop, first parameters associated with decoding are updated to generate updated first parameters bas...