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» Learning probabilistic models of the Web
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JCST
2010
153views more  JCST 2010»
14 years 4 months ago
Model Failure and Context Switching Using Logic-Based Stochastic Models
Abstract We define a notion of context that represents invariant, stable-over-time behavior in an environment and we propose an algorithm for detecting context changes in a stream ...
Nikita A. Sakhanenko, George F. Luger
74
Voted
ICML
2006
IEEE
15 years 10 months ago
Robust probabilistic projections
Principal components and canonical correlations are at the root of many exploratory data mining techniques and provide standard pre-processing tools in machine learning. Lately, p...
Cédric Archambeau, Michel Verleysen, Nicola...
AAAI
2008
14 years 12 months ago
An Unsupervised Approach for Product Record Normalization across Different Web Sites
An unsupervised probabilistic learning framework for normalizing product records across different retailer Web sites is presented. Our framework decomposes the problem into two ta...
Tak-Lam Wong, Tik-Shun Wong, Wai Lam
EMNLP
2007
14 years 11 months ago
A Topic Model for Word Sense Disambiguation
We develop latent Dirichlet allocation with WORDNET (LDAWN), an unsupervised probabilistic topic model that includes word sense as a hidden variable. We develop a probabilistic po...
Jordan L. Boyd-Graber, David M. Blei, Xiaojin Zhu
UM
2005
Springer
15 years 3 months ago
Exploiting Probabilistic Latent Information for the Construction of Community Web Directories
This paper improves a recently-presented approach to Web Personalization, named Community Web Directories, which applies personalization techniques to Web Directories. The Web dire...
Dimitrios Pierrakos, Georgios Paliouras