US Patent Issued to FAIR ISAAC on July 22 for "Segmentation using zero value features in machine learning" (California Inventors)

ALEXANDRIA, Va., July 23 -- United States Patent no. 12,367,587, issued on July 22, was assigned to FAIR ISAAC Corp. (Minneapolis).

"Segmentation using zero value features in machine learning" was invented by Yuchen Chen (San Diego) and Scott Michael Zoldi (San Diego).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method includes generating a plurality of binary feature maps containing a set of feature map values including a first binary value and/or a second binary value, by at least converting each input value of a set of input values of a plurality of input feature vectors to the first binary value when the corresponding input value is the zero value or the second binary value when the corresponding inpu...