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JMLR
2002
74views more  JMLR 2002»
14 years 9 months ago
The Representational Power of Discrete Bayesian Networks
One of the most important fundamental properties of Bayesian networks is the representational power, reflecting what kind of functions they can or cannot represent. In this paper,...
Charles X. Ling, Huajie Zhang
AUSAI
2009
Springer
15 years 4 months ago
A Graph Distance Based Structural Clustering Approach for Networks
In the era of information explosion, structured data emerge on a large scale. As a description of structured data, network has drawn attention of researchers in many subjects. Netw...
Xin Su, Chunping Li
BMCBI
2008
78views more  BMCBI 2008»
14 years 10 months ago
Deducing topology of protein-protein interaction networks from experimentally measured sub-networks
Background: Protein-protein interaction networks are commonly sampled using yeast two hybrid approaches. However, whether topological information reaped from these experimentallym...
Ling Yang, Thomas M. Vondriska, Zhangang Han, W. R...
ESA
2009
Springer
122views Algorithms» more  ESA 2009»
15 years 4 months ago
Bounded Budget Betweenness Centrality Game for Strategic Network Formations
In this paper, we introduce the bounded budget betweenness centrality game, a strategic network formation game in which nodes build connections subject to a budget constraint in or...
Xiaohui Bei, Wei Chen, Shang-Hua Teng, Jialin Zhan...
ICML
1995
IEEE
15 years 11 months ago
Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
Justine Blackmore, Risto Miikkulainen