State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China;
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China;
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China;
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China;
Internet Traffic; Network Traffic Classification; Machine Learning; Semi-Supervised; Clustering; Co-training;
机译:基于多视图协同训练的网络视频在线半监督分类算法
机译:基于协同训练风格半监督学习的问题分类
机译:基于遗传的最小分类错误映射,可准确识别互联网流量中的对等应用
机译:基于协同训练半监督聚类的高精度互联网流量分类
机译:基于窗口的流数据挖掘,用于对Internet流量进行分类。
机译:基于模糊C均值聚类的肺结节分割和CNN分类
机译:基于流媒体的流量分类技术适用于12 + 1年的互联网流量