开课单位--伊利诺伊大学
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PReP: Path­Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks[PReP：异构信息网络中概率视角的基于路径的相关性]
  于石(伊利诺伊大学) As a powerful representation paradigm for networked and multi-typed data, the heterogeneous information network (HIN) is ubiquitous. Meanwhile, defini...
热度：15

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TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet Streams[TrioVecEvent：地理标记推文流中基于嵌入的在线本地事件检测]
   Chao Zhang(伊利诺伊大学) Detecting local events (e.g., protest, disaster) at their onsets is an important task for a wide spectrum of applications, ranging from disaster contr...
热度：10

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Learning without Forgetting[学而不忘]
  Zhizhong Li(伊利诺伊大学) When building a unified vision system or gradually adding new capabilities to a system, the usual assumption is that training data for all tasks is al...
热度：17

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MATCH: Metadata-Aware Text Classification in A Large Hierarchy[MATCH：大型层次结构中的元数据感知文本分类]
  Yu Zhang(伊利诺伊大学)  Metadata-Aware Text Classification in A Large Hierarchy
热度：21

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TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering[TaxonGen：基于自适应术语嵌入和聚类的无监督主题分类构建]
  Chao Zhang(伊利诺伊大学) Taxonomy construction is not only a fundamental task for semantic analysis of text corpora, but also an important step for applications such as inform...
热度：21

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Mining Topics in Documents: Standing on the Shoulders of Big Data[文档主题挖掘:站在大数据的肩膀上]
  Zhiyuan (Brett) Chen(伊利诺伊大学) Topic modeling has been widely used to mine topics from documents. However, a key weakness of topic modeling is that it needs a large amount of data (...
热度：21

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Classification Approach Towards Ranking and Sorting[分类方法对排序和排序]
   Shyamsundar Rajaram(伊利诺伊大学) Classification Approach Towards Ranking and Sorting
热度：26

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Semidefinite ranking on graphs[图的半定排序]
  Shankar Vembu(伊利诺伊大学) We consider the problem of ranking the vertices of an undirected graph given some preference relation. This ranking on graphs problem has been tackled...
热度：22

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Diagnosing Error in Object Detectors[目标探测器的诊断误差]
  Stefan Carlsson;Antonio Torralba;Derek Hoiem(伊利诺伊大学) This paper shows how to analyze the influences of object characteristics on detection performance and the frequency and impact of different types of f...
热度：115

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Mining Heterogeneous Information Networks[挖掘异构信息网络]
   Jiawei Han(伊利诺伊大学) Most objects and data in the real world are of multiple types, interconnected, forming complex, heterogeneous but often semi-structured information ne...
热度：41
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