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MACHINE LEARNING-BASED CLIENT SELECTION AND TESTING IN A NETWORK ASSURANCE SYSTEM
MACHINE LEARNING-BASED CLIENT SELECTION AND TESTING IN A NETWORK ASSURANCE SYSTEM
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机译:网络保障系统中基于机器学习的客户端选择和测试
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摘要
In one embodiment, a network assurance service that monitors a network detects a network anomaly in the network using a machine learning-based anomaly detector. The network assurance service identifies a set of network conditions associated with the detected network anomaly. The network assurance service initiates a network test on one or more clients in the network that exhibit the identified network conditions. The network assurance service retrains the machine learning-based anomaly detector based on a result of the network test.
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