US Patent Issued to Fortinet on Jan. 27 for "Inductive learning and inductive forgetting for bolstering machine-learning model performance" (California Inventor)

ALEXANDRIA, Va., Jan. 28 -- United States Patent no. 12,536,465, issued on Jan. 27, was assigned to Fortinet Inc. (Sunnyvale, Calif.).

"Inductive learning and inductive forgetting for bolstering machine-learning model performance" was invented by Sameer T. Khanna (Cupertino, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods are described for training a machine learning model using intelligently selected multiclass vectors. According to an embodiment, an un-labeled feature vector is selected from a set of feature vectors. A model classified cluster and a confidence score are obtained by classifying an un-labeled feature vector using a machine-learning model. A determination is made reg...