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Titlebook: Machine Learning for Cyber Security; Third International Xiaofeng Chen,Hongyang Yan,Xiangliang Zhang Conference proceedings 2020 Springer

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Software Entity Recognition Method Based on BERT Embedding,ontent of the knowledge community in this field are mainly focus on the structural relationship and rule-based association and mining. This paper proposes a software entity recognition method based on BERT word embedding. Firstly, the BiLSTM-CRF model is constructed, and the entity recognition model
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Framework Optimization for Face Recognition,s of such a system, and there is an evident lack of research on a face recognition system framework that can integrate and manage the entire face recognition system. Therefore, in this study, we propose a framework that enables the user to effectively develop an face recognition system in different
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Machine Learning Assisted OSP Approach for Improved QoS Performance on 3D Charge-Trap Based SSDs,maximized system I/O throughput at the cost of degraded Quality-of-Service performance. This paper proposes RLOSP, a reinforcement learning based approach to improve the QoS performance for 3D charge-trap based SSDs. By learning the I/O patterns of the workload environments as well as the device int
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A Short-Term Traffic Flow Forecasting Method Based on Support Vector Regression Optimized by Genetiraffic flow prediction. The short-time traffic flow has many influencing factors, which are characterized by nonlinearity, randomness and periodicity. Therefore, support vector regression algorithm has advantages in dealing with such problems. In order to improve the prediction accuracy of the suppo
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