首页|Patent Issued for Systems and methods implementing an intelligent machine learni ng tuning system providing multiple tuned hyperparameter solutions (USPTO 119668 60)
Patent Issued for Systems and methods implementing an intelligent machine learni ng tuning system providing multiple tuned hyperparameter solutions (USPTO 119668 60)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - A patent by the inventors Clark, Scott (San Francisco, CA, US), Hayes, Patrick (San Francisco, CA, US), McCourt, Micha el (San Francisco, CA, US), Tee, Kevin (San Francisco, CA, US), filed on March 4 , 2022, was published online on April 23, 2024, according to news reporting orig inating from Alexandria, Virginia, by NewsRx correspondents. Patent number 11966860 is assigned to Intel Corporation (Santa Clara, California , United States). The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “Modern machine learning capabilities are rapidl y changing and improving how some of the most complex and data-intensive computi ng problems are solved. A performance of a machine learning model is governed ma inly in the manner(s) in which the machine learning model is trained using data samples as machine learning training input and based on the hyperparameters of t he machine learning model set prior to the training of the model. As referenced in passing the hyperparameters of the machine learning models are parameters who se values are set prior to the commencement of the machine learning process rath er than derived by the machine learning model during training. Example include t he number of trees in a random forest or the number of hidden layers in a deep n eural net. Adjusting the values of the hyperparameters of a machine learning mod el by any amount typically results in a large impact on a performance of the mac hine learning model.
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