图 书 馆开课单位--微软公司
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9192Efficient Anomaly Monitoring Over Moving Object Trajectory Streams[高效的异常监测对象的运动轨迹的溪流]
Yingyi Bu(微软公司) Lately there exist increasing demands for online abnormality monitoring over trajectory streams, which are obtained from moving object tracking device...
热度：144
Yingyi Bu(微软公司) Lately there exist increasing demands for online abnormality monitoring over trajectory streams, which are obtained from moving object tracking device...
热度：144
93Question & Answer for Localizers[定位器问答]
Jan Anders Nelson;Sinclair Morgan;Charles McCathieNevile; Hans Uszkoreit;Bryan Schnabel(微软公司) Question & Answer for Localizers
热度：22
Jan Anders Nelson;Sinclair Morgan;Charles McCathieNevile; Hans Uszkoreit;Bryan Schnabel(微软公司) Question & Answer for Localizers
热度：22
94Using the Web to do Social Science[利用网络做社会科学]
Duncan Watts(微软公司) Social science is often concerned with the emergence of collective behavior out of the interactions of large numbers of individuals; but in this regar...
热度：40
Duncan Watts(微软公司) Social science is often concerned with the emergence of collective behavior out of the interactions of large numbers of individuals; but in this regar...
热度：40
95Data Intelligence[数据情报]
Evelyne Viegas(微软公司) Fourth of a set of industry talks at ISWC. “Data Intelligence”. Today, lots of research is inhibited because of data that cannot be made...
热度：57
Evelyne Viegas(微软公司) Fourth of a set of industry talks at ISWC. “Data Intelligence”. Today, lots of research is inhibited because of data that cannot be made...
热度：57
9697Large Scale Online Bayesian Recommendations[大规模在线贝叶斯推荐]
Thore Graepel;David Stern;Ralf Herbrich(微软公司) We present a probabilistic model for generating personalised recommendations of items to users of a web service. The system makes use of content infor...
热度：36
Thore Graepel;David Stern;Ralf Herbrich(微软公司) We present a probabilistic model for generating personalised recommendations of items to users of a web service. The system makes use of content infor...
热度：36
98Multiclass-multilabel classification with more labels than example[多级比例更细粒度的分类标签]
Ofer Dekel(微软公司) We discuss multiclass-multilabel classification problems in which the set of possible labels is extremely large. Most existing multiclass-multilabel l...
热度：45
Ofer Dekel(微软公司) We discuss multiclass-multilabel classification problems in which the set of possible labels is extremely large. Most existing multiclass-multilabel l...
热度：45
99100Exploiting Problem Structure for Efficient Discrete Optimization[高效离散优化问题结构的开发]
Pushmeet Kohli(微软公司) Many problems in computer vision and machine learning require inferring the most probable states of certain hidden or unobserved variables. This infer...
热度：24
Pushmeet Kohli(微软公司) Many problems in computer vision and machine learning require inferring the most probable states of certain hidden or unobserved variables. This infer...
热度：24