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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 发表日期：2018    专题：北京航空航天大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Spotting Trip Purposes from Taxi Trajectories: A General Probabilistic Model 期刊论文 ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2018, 卷号: 9 作者:  Wang, Pengfei;  Liu, Guannan;  Fu, Yanjie;  Zhou, Yuanchun;  Li, Jianhui 收藏  |  浏览/下载：10/0  |  提交时间：2019/12/30 Design  Implementation Algorithms  Experimentation  Performance  Human mobility  taxi trajectories  trip purposes  probabilistic model   Attention-based Bi-LSTM Model for Anomalous HTTP Traffic Detection 会议论文 2018 15TH INTERNATIONAL CONFERENCE ON SERVICE SYSTEMS AND SERVICE MANAGEMENT (ICSSSM), 2018-01-01 作者:  Yu, Yuqi;  Liu, Guannan;  Yan, Hanbing;  Li, Hong;  Guan, Hongchao 收藏  |  浏览/下载：8/0  |  提交时间：2019/12/30 attention mechanism  bidirectional long short-term memory  anomalous HTTP traffic detection   Temporal Item Embedding with Static Similarity Regularization for Sequential Recommendation 会议论文 2018 15TH INTERNATIONAL CONFERENCE ON SERVICE SYSTEMS AND SERVICE MANAGEMENT (ICSSSM), 2018-01-01 作者:  Zhang, Liang;  Liu, Guannan;  Wan, Xin;  Wu, Junjie;  Li, Peng 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/30 recommend system  regularization  embedding learning  temporal data   Matching Recommendations based on Siamese Network and Metric Learning 会议论文 2018 15TH INTERNATIONAL CONFERENCE ON SERVICE SYSTEMS AND SERVICE MANAGEMENT (ICSSSM), 2018-01-01 作者:  Yuan, Huiru;  Liu, Guannan;  Li, Hong;  Wang, Lihong 收藏  |  浏览/下载：10/0  |  提交时间：2019/12/30 matching recommendations  siamese network  metric learning  category2vec  visual compatibility   Ensemble Clustering via Learning Representations from Auto-encoder 会议论文 2018 15TH INTERNATIONAL CONFERENCE ON SERVICE SYSTEMS AND SERVICE MANAGEMENT (ICSSSM), 2018-01-01 作者:  Wu, Mengqi;  Liu, Guannan;  Li, Peng;  Wu, Junjie;  Wan, Xin 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30 representation learning  ensemble clustering  auto-encoder  text clustering