首页|North China University of Science and Technology Researcher Yields New Findings on Machine Learning (A Network Intrusion Detection Method Based on Bagging Ensem ble)
North China University of Science and Technology Researcher Yields New Findings on Machine Learning (A Network Intrusion Detection Method Based on Bagging Ensem ble)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on artificial intelligenc e is the subject of a new report. According to newsreporting originating from T angshan, People’s Republic of China, by NewsRx correspondents, researchstated, “The problems of asymmetry in information features and redundant features in dat asets, and theasymmetry of network traffic distribution in the field of network intrusion detection, have been identifiedas a cause of low accuracy and poor g eneralization of traditional machine learning detection methods inintrusion det ection systems (IDSs).”
North China University of Science and Te chnologyTangshanPeople’s Republic of ChinaAsiaCybersecurityCyborgsEm erging TechnologiesMachine Learning
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