ALEXANDRIA, Va., May 12 -- United States Patent no. 12,626,095, issued on May 12, was assigned to Gen Digital Inc. (Tempe, Ariz.).

"Machine learning outputs with high confidence explanations" was invented by Tomas Pevny (Prague).

According to the abstract* released by the U.S. Patent & Trademark Office: "A malware classification system provides improved confidence in explanations of neural network classification outputs using methods such as weighting or masking when training the neural network to train the network on a sample resembling or including the explanation. The explanation in some examples comprises a subset of a hierarchical input vector that is responsible for the neural network's classification output. In another example the ...