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ICML
2004
IEEE
14 years 10 months ago
Automated hierarchical mixtures of probabilistic principal component analyzers
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
Ting Su, Jennifer G. Dy
WWW
2009
ACM
14 years 9 months ago
Competitive analysis from click-through log
Existing keyword suggestion tools from various search engine companies could automatically suggest keywords related to the advertisers' products or services, counting in simp...
Gang Wang, Jian Hu, Yunzhang Zhu, Hua Li, Zheng Ch...
WWW
2007
ACM
14 years 9 months ago
Measuring credibility of users in an e-learning environment
Learning Villages (LV) is an E-learning platform for people's online discussions and frequently citing postings of one another. In this paper, we propose a novel method to ra...
Wei Wei, Jimmy Ho-Man Lee, Irwin King
WWW
2005
ACM
14 years 9 months ago
Automatically learning document taxonomies for hierarchical classification
While several hierarchical classification methods have been applied to web content, such techniques invariably rely on a pre-defined taxonomy of documents. We propose a new techni...
Kunal Punera, Suju Rajan, Joydeep Ghosh
PLDI
2009
ACM
14 years 9 months ago
Sharing classes between families
Class sharing is a new language mechanism for building extensible software systems. Recent work has separately explored two different kinds of extensibility: first, family inherit...
Xin Qi, Andrew C. Myers