首页|Researchers Submit Patent Application, "Hierarchical Data Labeling For Machine L earning Using Semi-Supervised Multi-Level Labeling Framework", for Approval (USP TO 20240062051)
Researchers Submit Patent Application, "Hierarchical Data Labeling For Machine L earning Using Semi-Supervised Multi-Level Labeling Framework", for Approval (USP TO 20240062051)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-From Washington, D.C., NewsRx journalists report that a patent application by the inventors Baran Pouyan, Maziyar (Emeryville, CA , US); Eneva, Elena Stoyanova (Sunnyvale, CA, US); Khati, Manish (Hyderabad, IN) ; Khetan, Vivek Kumar (San Francisco, CA, US); Khole, Srikant Vilas (Pimpri Chin chwad, IN); Ohara, Mary A. (Newark, DE, US); Satbhai, Hrishikesh (Pune, IN), fil ed on August 17, 2022, was made available online on February 22, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information suppli ed by the inventors: "Machine learning is related to techniques that computer sy stems use to perform a specific task without using explicit instructions, relyin g on patterns and inference instead. Machine learning algorithms build a mathema tical model based on sample data in order to make predictions or decisions witho ut being explicitly programmed to perform the task.
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