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» Graph Mining using Graph Pattern Profiles
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CIKM
2010
Springer
14 years 6 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
15 years 10 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
UAI
2007
14 years 10 months ago
"I Can Name that Bayesian Network in Two Matrixes!"
The traditional approach to building Bayesian networks is to build the graphical structure using a graphical editor and then add probabilities using a separate spreadsheet for eac...
Russell Almond
WWW
2010
ACM
15 years 4 months ago
Empirical comparison of algorithms for network community detection
Detecting clusters or communities in large real-world graphs such as large social or information networks is a problem of considerable interest. In practice, one typically chooses...
Jure Leskovec, Kevin J. Lang, Michael W. Mahoney
CIKM
2006
Springer
15 years 1 months ago
Eigen-trend: trend analysis in the blogosphere based on singular value decompositions
The blogosphere--the totality of blog-related Web sites-has become a great source of trend analysis in areas such as product survey, customer relationship, and marketing. Existing...
Yun Chi, Belle L. Tseng, Jun'ichi Tatemura