US Patent Issued to Palantir Technologies on April 29 for "Systems and methods for selecting machine learning training data" (California Inventors)

ALEXANDRIA, Va., June 9 -- United States Patent no. 12,288,143, issued on April 29, was assigned to Palantir Technologies Inc. (Denver).

"Systems and methods for selecting machine learning training data" was invented by Daniel Erenrich (Mountain View, Calif.) and Matthew Elkherj (Menlo Park, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods are provided for selecting training examples to increase the efficiency of supervised active machine learning processes. Training examples for presentation to a user may be selected according to measure of the model's uncertainty in labeling the examples. A number of training examples may be selected to increase efficiency between the user and the ...