图 书 馆开课单位--清华大学
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31Recent Advances in Bayesian Methods
Jun Zhu(清华大学) This year marks the 250th Anniversary of Bayes’ theorem, which is playing an increasingly important role in statistical applications. Existing B...
热度：26
Jun Zhu(清华大学) This year marks the 250th Anniversary of Bayes’ theorem, which is playing an increasingly important role in statistical applications. Existing B...
热度：26
32Linking Named Entities in Tweets with Knowledge Base via User Interest Modeling[基于用户兴趣模型的Tweets命名实体与知识库的链接]
Wei Shen(清华大学) Twitter has become an increasingly important source of information, with more than 400 million tweets posted per day. The task to link the named entit...
热度：57
Wei Shen(清华大学) Twitter has become an increasingly important source of information, with more than 400 million tweets posted per day. The task to link the named entit...
热度：57
33Confluence: Conformity Influence in Large Social Networks[融合：大型社交网络中的整合影响]
Jie Tang(清华大学) Conformity is a type of social influence involving a change in opinion or behavior in order to fit in with a group. Employing several social networks ...
热度：45
Jie Tang(清华大学) Conformity is a type of social influence involving a change in opinion or behavior in order to fit in with a group. Employing several social networks ...
热度：45
34Efficient MultiClass Maximum Margin Clustering[高效的多用户的最大间隔聚类]
Bin Zhao(清华大学) This paper presents a cutting plane algorithm for multiclass maximum margin clustering (MMC). The proposed algorithm constructs a nested sequence of s...
热度：83
Bin Zhao(清华大学) This paper presents a cutting plane algorithm for multiclass maximum margin clustering (MMC). The proposed algorithm constructs a nested sequence of s...
热度：83
35Parallel Community Detection on Large Networks with Propinquity Dynamics [用近似动态大型网络并行社区检测]
Yuzhou Zhang(清华大学) 图或网络可以用来模拟复杂的系统。从大量的网络数据检测群落结构是一个经典的和具有挑战性的任务。在本文中，我们提出了一个新的社区检测算法，它利用一个动态的...
热度：62
Yuzhou Zhang(清华大学) 图或网络可以用来模拟复杂的系统。从大量的网络数据检测群落结构是一个经典的和具有挑战性的任务。在本文中，我们提出了一个新的社区检测算法，它利用一个动态的...
热度：62
36Co-Clustering on Manifolds[聚类流形]
Jie Zhou(清华大学) Co-clustering is based on the duality between data points (e.g. documents) and features (e.g. words), i.e. data points can be grouped based on their d...
热度：308
Jie Zhou(清华大学) Co-clustering is based on the duality between data points (e.g. documents) and features (e.g. words), i.e. data points can be grouped based on their d...
热度：308
37Webpage Understanding: an Integrated Approach [了解网页：一个集成的方法]
Jun Zhu(清华大学) Recent work has shown the effectiveness of leveraging layout and tag-tree structure for segmenting webpages and labeling HTML elements. However, how t...
热度：37
Jun Zhu(清华大学) Recent work has shown the effectiveness of leveraging layout and tag-tree structure for segmenting webpages and labeling HTML elements. However, how t...
热度：37
38Color Image Segmentation: Kernel Do the Feature Space[彩色图像分割：内核做的特征空间]
Jianguo Lee(清华大学) 彩色图像分割：内核做的特征空间
热度：44
Jianguo Lee(清华大学) 彩色图像分割：内核做的特征空间
热度：44
39Learning Kernels via Margin-and-Radius Ratios[利用边距和半径比学习核函数 ]
Kun Gai(清华大学) Most existing MKL approaches employ the large margin principle to learning kernels. However, we point out that the margin itself can not well describe...
热度：37
Kun Gai(清华大学) Most existing MKL approaches employ the large margin principle to learning kernels. However, we point out that the margin itself can not well describe...
热度：37
40Evolutionary Hierarchical Dirichlet Processes for Multiple Correlated Time-varying Corpora[多相关时变语料库的进化层次Dirichlet过]
Jianwen Zhang(清华大学) Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an a...
热度：60
Jianwen Zhang(清华大学) Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an a...
热度：60