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ICML
1997
IEEE
16 years 7 months ago
Learning Belief Networks in the Presence of Missing Values and Hidden Variables
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...
Nir Friedman
SDM
2009
SIAM
208views Data Mining» more  SDM 2009»
16 years 3 months ago
A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks.
Although a large body of work are devoted to finding communities in static social networks, only a few studies examined the dynamics of communities in evolving social networks. I...
Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, ...
IPPS
2009
IEEE
16 years 1 months ago
Compact graph representations and parallel connectivity algorithms for massive dynamic network analysis
Graph-theoretic abstractions are extensively used to analyze massive data sets. Temporal data streams from socioeconomic interactions, social networking web sites, communication t...
Kamesh Madduri, David A. Bader
INFOCOM
2007
IEEE
16 years 20 days ago
Performance Evaluation of Loss Networks via Factor Graphs and the Sum-Product Algorithm
— Loss networks provide a powerful tool for the analysis and design of many communication and networking systems. It is well known that a large number of loss networks have produ...
Jian Ni, Sekhar Tatikonda
WECWIS
2007
IEEE
148views ECommerce» more  WECWIS 2007»
16 years 19 days ago
The Core and Shapley Value Analysis for Cooperative Formation of Procurement Networks
Formation of high value procurement networks involves a bottom-up assembly of complex production, assembly, and exchange relationships through supplier selection and contracting d...
T. S. Chandrashekar, Y. Narahari