首页|Recent Findings in Machine Learning Described by Researchers from University of Science and Technology Beijing (Kad: a Knowledge Formalization-based Anomaly Det ection Approach for Distributed Systems)
Recent Findings in Machine Learning Described by Researchers from University of Science and Technology Beijing (Kad: a Knowledge Formalization-based Anomaly Det ection Approach for Distributed Systems)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating from Beijing, People’s R epublic of China, by NewsRx correspondents, research stated, “Large-scale distri buted systems are becoming key engines of the IT industry due to their scalabili ty and extensibility. A distributed system often involves numerous complex inter actions among components, suffering anomalies such as data inconsistencies betwe en components and unanticipated delays in response times.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningUniversity of Science and T echnology Beijing
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