首页|Patent Issued for Decision tree training with difference subsets of training samples based on a plurality of classifications (USPTO 11893506)
Patent Issued for Decision tree training with difference subsets of training samples based on a plurality of classifications (USPTO 11893506)
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According to news reporting originating from Alexandria, Virginia, by NewsRx journalists, a patent by the inventors Chu, Peter L. (Lexington, MA, US), Liu, Yibo (Boxborough, MA, US), Wang, Xiangdong (Carlisle, MA, US), filed on June 23, 2020, was published online on February 6, 2024. The assignee for this patent, patent number 11893506, is Hewlett-Packard Development Company L.P. (Spring, Texas, United States). Reporters obtained the following quote from the background information supplied by the inventors: “Decision trees may be used to classify samples of images. For example, a decision tree may be used to classify content in an image and/or identify parts of an image, such as for face or body detection. The training time and computational load required to train a decision tree is a function of the number of features being tested and the number of possible classifications. A challenge is to reduce the training time and computational load for training and operating decision trees.”
BusinessCyborgsDecision TreesEmerging TechnologiesHewlett-Packard Development Company L.P.Machine Learning
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