ALEXANDRIA, Va., March 17 -- United States Patent no. 12,579,474, issued on March 17, was assigned to ROBERT BOSCH GMBH (Stuttgart, Germany).
"Method and device for continual machine learning of a sequence of different tasks" was invented by Thomas Elsken (Sindelfingen, Germany).
According to the abstract* released by the U.S. Patent & Trademark Office: "A method for parameterizing a function, which outputs an ideal parameterization of a machine learning system for a large number of different data sets. A first training of a machine learning system is carried out in succession on multiple training data sets, the individual optimized parameterizations of the machine learning system being stored for each of the training data sets. A second ...