开课单位--卡内基梅隆大学

191
Estimating Rates of Rare Events at Multiple Resolutions [在多分辨率下估计罕见事件的发生率 ]
  Deepayan Chakrabarti(卡内基梅隆大学) We consider the problem of estimating occurrence rates of rare events for extremely sparse data, using pre-existing hierarchies to perform inference a...
热度：28

192
Temporal Causal Modeling with Graphical Granger Methods [用图形格兰杰方法建立时间因果模型 ]
  Andrew Arnold(卡内基梅隆大学) The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications na...
热度：97

193
Populating the Semantic Web by Macro-Reading Internet Text[宏观阅读网络文本填充语义网络]
  Tom Mitchell(卡内基梅隆大学) A key question to the future of the semantic web is "how will we acquire structured information to populate the semantic web on a vast scale?&quo...
热度：47

194
The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City[生计项目：利用社会媒体了解城市动态]
  Justin Cranshaw(卡内基梅隆大学) Studying the social dynamics of a city on a large scale has tra- ditionally been a challenging endeavor, requiring long hours of observation and inter...
热度：59

195
Star Quality: Aggregating Reviews to Rank Products and Merchants[明星品质：汇总评论，对产品和商家进行排名]
  Mary McGlohon(卡内基梅隆大学) Given a set of reviews of products or merchants from a wide range of authors and several reviews websites, how can we measure the true quality of the ...
热度：34

196
StepGreen.org: Increasing Energy Saving Behaviors via Social Networks[stepgreen.org：通过社交网络提高节能行为 ]
  Jennifer Mankoff(卡内基梅隆大学) Decades of research have explored factors that can influence green behavior. However, much less is known about how technology in general, and social t...
热度：39

197
Community Structure and Information Flow in Usenet: Improving analysis with a thread ownership model[Usenet中的社区结构和信息流：用线程所有权模型改进分析 ]
  Mary McGlohon(卡内基梅隆大学) Studying Usenet provides unique insight into online communities, since there is often a pre-defined space for community interaction. Here, we examine ...
热度：26

198
Blockwise Coordinate Descent Procedures for the Multi-Task Lasso with Applications to Neural Semantic Basis Discovery[多任务套索的分块协调下降法及其在神经语义基发现中的应用]
  Mark Palatucci(卡内基梅隆大学) We develop a cyclical blockwise coordinate descent algorithm for the multi-task Lasso that efficiently solves problems with thousands of features and ...
热度：22

199
Polyhedral Outer Approximations with Application to Natural Language Parsing[多面体外逼近在自然语言解析中的应用]
  André F. T. Martins(卡内基梅隆大学) Recent approaches to learning structured predictors often require approximate inference for tractability; yet its effects on the learned model are unc...
热度：64

200
A New Admixture Model for Inference of Population Structure in Light of Both Genetic Admixing and Allele Mutations[基于遗传混合和等位基因突变的种群结构推理新型混合模型]
  Suyash Shringarpure(卡内基梅隆大学) Traditional methods for analyzing population structure, such as the Structure program, ignore the influence of mutational effects. We propose mStruct,...
热度：83