US Patent Issued to Salesforce on Nov. 25 for "Domain adaptation of machine learning models for classification" (California Inventors)

ALEXANDRIA, Va., Nov. 25 -- United States Patent no. 12,481,833, issued on Nov. 25, was assigned to Salesforce Inc. (San Francisco).

"Domain adaptation of machine learning models for classification" was invented by Zachary Alexander (Berkeley, Calif.) and Shubham Mehrotra (Santa Clara, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "The system receives a base machine learning model trained using a generic dataset. For example, the base machine learning model may be an off-the-shelf machine learning based model. The base machine learning model is trained to receive an input and generate a feature vector representing the input. The input may be a natural language expression, an image, or any other type o...