机译:主动学习用于P2P流量识别-Springer
1.College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing 210016 Peoples Republic of China 2.College of Computer and Information Anhui Polytechnic University Wuhu 241000 Peoples Republic of China;
1.College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing 210016 Peoples Republic of China 3.Key Laboratory of Broadband Wireless Communication and Sensor Network technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 Peoples Republic of China;
Active learning Support vector data description Traffic identification P2P;
机译:机器学习P2P流量识别算法的特征优化和性能评估
机译:机器学习P2P流量识别算法的特征优化和性能评估
机译:P2P文件共享系统和ISP的P2P流量管理中的关键策略研究-Springer
机译:主动式P2P流量识别技术
机译:使用机器学习方法的公共活动识别交通数据
机译:自动识别系统传感器数据的基于深度学习的警戒区交通量预测
机译:Collabrium:主动流量模式预测可促进P2P协作