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» Distributed Data Mining Models as Services on the Grid
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KDD
2006
ACM
177views Data Mining» more  KDD 2006»
16 years 6 months ago
Topics over time: a non-Markov continuous-time model of topical trends
This paper presents an LDA-style topic model that captures not only the low-dimensional structure of data, but also how the structure changes over time. Unlike other recent work t...
Xuerui Wang, Andrew McCallum
CORR
2012
Springer
167views Education» more  CORR 2012»
14 years 2 months ago
Multidimensional counting grids: Inferring word order from disordered bags of words
Models of bags of words typically assume topic mixing so that the words in a single bag come from a limited number of topics. We show here that many sets of bag of words exhibit a...
Nebojsa Jojic, Alessandro Perina
ICDM
2009
IEEE
98views Data Mining» more  ICDM 2009»
16 years 1 months ago
Topic Distributions over Links on Web
—It is well known that Web users create links with different intentions. However, a key question, which is not well studied, is how to categorize the links and how to quantify th...
Jie Tang, Jing Zhang, Jeffrey Xu Yu, Zi Yang, Keke...
ICDM
2005
IEEE
165views Data Mining» more  ICDM 2005»
16 years 11 hour ago
A Bernoulli Relational Model for Nonlinear Embedding
The notion of relations is extremely important in mathematics. In this paper, we use relations to describe the embedding problem and propose a novel stochastic relational model fo...
Gang Wang, Hui Zhang, Zhihua Zhang, Frederick H. L...
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 6 months ago
A bayesian mixture model with linear regression mixing proportions
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gu...