图 书 馆开课单位--南加利福尼亚大学
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1Information Contagion: an Empirical Study of the Spread of News on Digg and Twitter Social Networks[信息传染：digg和twitter社交网络新闻传播的实证研究]
Kristina Lerman(南加利福尼亚大学) Social networks have emerged as a critical factor in information dissemination, search, marketing, expertise and influence discovery, and potentially ...
热度：58
Kristina Lerman(南加利福尼亚大学) Social networks have emerged as a critical factor in information dissemination, search, marketing, expertise and influence discovery, and potentially ...
热度：58
2Identifying Personal Stories in Millions of Weblog Entries[在数以百万计的日志条目中识别个人故事 ]
Andrew S. Gordon(南加利福尼亚大学) Stories of people's everyday experiences have long been the focus of psychology and sociology research, and are increasingly being used in innovative ...
热度：62
Andrew S. Gordon(南加利福尼亚大学) Stories of people's everyday experiences have long been the focus of psychology and sociology research, and are increasingly being used in innovative ...
热度：62
3Topic-Link LDA: Joint Models of Topic and Author Community [主题链接LDA：主题和作者社区的联合模型]
Yan Liu(南加利福尼亚大学) Given a large-scale linked document collection, such as a collection of blog posts or a research literature archive, there are two fundamental proble...
热度：43
Yan Liu(南加利福尼亚大学) Given a large-scale linked document collection, such as a collection of blog posts or a research literature archive, there are two fundamental proble...
热度：43
4Poster: Knowledge as a Constraint on Uncertainty for Unsupervised Classification: A Study in Part-of-Speech Tagging[海报：知识作为无监督分类不确定性的约束：词性标注研究]
Thomas J. Murray(南加利福尼亚大学) This paper evaluates the use of prior knowledge to limit or bias the choices of a classifer during otherwise unsupervised training and classifcation. ...
热度：78
Thomas J. Murray(南加利福尼亚大学) This paper evaluates the use of prior knowledge to limit or bias the choices of a classifer during otherwise unsupervised training and classifcation. ...
热度：78
5Free Energy and Relative Entropy Dualities: Connections to Path Integral Control and Applications to Robotics[自由能和相对熵对偶：路径积分控制的连接和机器人学的应用]
Evangelos Theodorou(南加利福尼亚大学) While optimal control and reinforcement learning are fundamental frameworks for learning and control applications, their application to high dimension...
热度：130
Evangelos Theodorou(南加利福尼亚大学) While optimal control and reinforcement learning are fundamental frameworks for learning and control applications, their application to high dimension...
热度：130
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