US Patent Issued to ADOBE on Nov. 4 for "Generating new machine learning models based on combinations of historical feature-extraction rules and historical machine-learning models" (California Inventor)

ALEXANDRIA, Va., Nov. 6 -- United States Patent no. 12,462,151, issued on Nov. 4, was assigned to ADOBE INC. (San Jose, Calif.).

"Generating new machine learning models based on combinations of historical feature-extraction rules and historical machine-learning models" was invented by Haichun Chen (Sunnyvale, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques for generating new machine learning (ML) systems are described. In an example, a computer system receives a request specifying a task and a performance metric for the new ML model via a user interface. In response, the computer system dynamically generates new feature-extraction rules and new machine learning models based on a rule-model c...