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» Modeling word burstiness using the Dirichlet distribution
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ICML
2007
IEEE
16 years 17 days ago
Infinite mixtures of trees
Finite mixtures of tree-structured distributions have been shown to be efficient and effective in modeling multivariate distributions. Using Dirichlet processes, we extend this ap...
Sergey Kirshner, Padhraic Smyth
NIPS
2003
15 years 1 months ago
Hierarchical Topic Models and the Nested Chinese Restaurant Process
We address the problem of learning topic hierarchies from data. The model selection problem in this domain is daunting—which of the large collection of possible trees to use? We...
David M. Blei, Thomas L. Griffiths, Michael I. Jor...
VLDB
2007
ACM
169views Database» more  VLDB 2007»
15 years 12 months ago
Staying FIT: Efficient Load Shedding Techniques for Distributed Stream Processing
In distributed stream processing environments, large numbers of continuous queries are distributed onto multiple servers. When one or more of these servers become overloaded due t...
Nesime Tatbul, Stanley B. Zdonik, Ugur Çeti...
ECIR
2008
Springer
15 years 1 months ago
Filaments of Meaning in Word Space
Word space models, in the sense of vector space models built on distributional data taken from texts, are used to model semantic relations between words. We argue that the high dim...
Jussi Karlgren, Anders Holst, Magnus Sahlgren
ACL
2011
14 years 3 months ago
Interactive Topic Modeling
Topic models have been used extensively as a tool for corpus exploration, and a cottage industry has developed to tweak topic models to better encode human intuitions or to better...
Yuening Hu, Jordan L. Boyd-Graber, Brianna Satinof...