图 书 馆开课单位--康奈尔大学
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51Identifying Temporal Patterns and Key Players in Document Collections[识别文档集合中的时间模式和关键人物]
Benyah Shaparenko(康奈尔大学) We consider the problem of analyzing the development of a document collection over time without requiring meaningful citation data. Given a collection...
热度：32
Benyah Shaparenko(康奈尔大学) We consider the problem of analyzing the development of a document collection over time without requiring meaningful citation data. Given a collection...
热度：32
52Structured Output Prediction with Structural SVMs[结构SVM的结构化输出预测]
Thorsten Joachims(康奈尔大学) This talk explores large-margin approaches to predicting graph-based objects like trees, clusterings, or alignments. Such problems arise, for example,...
热度：26
Thorsten Joachims(康奈尔大学) This talk explores large-margin approaches to predicting graph-based objects like trees, clusterings, or alignments. Such problems arise, for example,...
热度：26
53From Unsegmented Speech to Lexical Categories Using Phoneme Distributions[从使用音素分布的未分段语音到词汇类别]
Morten Christiansen(康奈尔大学) Advantages of Computational Modeling of Language - Mediates between theory and data: evaluation, exploration, existence proofs; Requires making underl...
热度：54
Morten Christiansen(康奈尔大学) Advantages of Computational Modeling of Language - Mediates between theory and data: evaluation, exploration, existence proofs; Requires making underl...
热度：54
54Science Policy, Politics and Human Rights[科学政策，政治与人权]
Kurt Gottfried, Sheila Jasanoff(康奈尔大学) In this talk, Kurt Gottfried invokes the spirit and philosophy of Andrei Sakharov, Soviet physicist and human rights champion. It was Sakharov, Gottfr...
热度：60
Kurt Gottfried, Sheila Jasanoff(康奈尔大学) In this talk, Kurt Gottfried invokes the spirit and philosophy of Andrei Sakharov, Soviet physicist and human rights champion. It was Sakharov, Gottfr...
热度：60
55Social Action Tracking via Noise Tolerant Time-varying Factor Graphs[基于抗噪时变因子图的社会行为跟踪]
Chenhao Tan(康奈尔大学) It is well known that users' behaviors (actions) in a social network are influenced by various factors such as personal interests, social influence, a...
热度：53
Chenhao Tan(康奈尔大学) It is well known that users' behaviors (actions) in a social network are influenced by various factors such as personal interests, social influence, a...
热度：53
56Information Genealogy: Uncovering the Flow of Ideas in Non-Hyperlinked Document Databases[信息系谱：揭示非超链接文档数据库中的思想流 ]
Benyah Shaparenko(康奈尔大学) We now have incrementally-grown databases of text documents ranging back for over a decade in areas ranging from personal email, to news-articles and ...
热度：41
Benyah Shaparenko(康奈尔大学) We now have incrementally-grown databases of text documents ranging back for over a decade in areas ranging from personal email, to news-articles and ...
热度：41
57Challenges in Social Network Data: Processes, Privacy and Paradoxes[社交网络数据的挑战：过程、隐私和悖论 ]
Jon Kleinberg(康奈尔大学 ) The proliferation of rich social media, on-line communities, and collectively produced knowledge resources has accelerated the convergence of technolo...
热度：40
Jon Kleinberg(康奈尔大学 ) The proliferation of rich social media, on-line communities, and collectively produced knowledge resources has accelerated the convergence of technolo...
热度：40
58The Directed Closure Process in Information Networks with an Analysis of Link Formation on Twitter[基于Twitter链接形成分析的信息网络定向封闭过程]
Daniel M. Romero(康奈尔大学) It has often been taken as a working assumption that directed links in information networks are frequently formed by "short-cutting'' a two-step ...
热度：34
Daniel M. Romero(康奈尔大学) It has often been taken as a working assumption that directed links in information networks are frequently formed by "short-cutting'' a two-step ...
热度：34
59A tempest: Or, On the flood of interest in sentiment analysis, opinion mining, and the computational treatment of subjective language.[一场风暴：或者，对情感分析、观点挖掘和主观语言的计算处理的兴趣洪流。]
Lillian Lee(康奈尔大学) "What do other people think?" has always been an important consideration to most of us when making decisions. Long before the World Wide Web...
热度：28
Lillian Lee(康奈尔大学) "What do other people think?" has always been an important consideration to most of us when making decisions. Long before the World Wide Web...
热度：28
60Learning Structural SVMs with Latent Variables [学习具有潜在变量的结构支持向量机]
Chun-Nam Yu(康奈尔大学) We present a large-margin formulation and algorithm for structured output prediction that allows the use of latent variables. The paper identifies a p...
热度：74
Chun-Nam Yu(康奈尔大学) We present a large-margin formulation and algorithm for structured output prediction that allows the use of latent variables. The paper identifies a p...
热度：74