首页|Patent Issued for Systems and methods for parameter optimization (USPTO 11900259)
Patent Issued for Systems and methods for parameter optimization (USPTO 11900259)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Kinaxis Inc. (Ottawa, Canada) has been issued patent number 11900259, according to news reporting originating out of Alexandria, Virginia, by NewsRx editors. The patent’s inventors are Downing, Jeffery (Ottawa, CA), Hebert, Liam (Ottawa, CA), Ouellet, Sebastien (Ottawa, CA), Stanley, Nathaniel (Ottawa, CA), Williams, Phillip (Ottawa, CA). This patent was filed on October 25, 2022 and was published online on February 13, 2024. From the background information supplied by the inventors, news correspondents obtained the following quote: “Prior to analysis of large amounts of data by machine-learning algorithms, the data must be initially configured, and must be done so intelligently in order to obtain meaningful results from the machine- learning algorithms. The data is configured by setting one or more parameters. Often, there are too many parameters in a configuration for a user to choose from. In addition, there may be hundreds of thousands of different possible values for each parameter in the configuration. Often, the user selects the parameters (that define the configuration) based on personal judgement, which turns out not to be the best choice. The user has to experiment in terms of selecting the parameters that provide an optimal configuration. This takes time and is quite inefficient.
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