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» Revisiting stochastic loss networks: structures and algorith...
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WAW
2009
Springer
138views Algorithms» more  WAW 2009»
15 years 4 months ago
Information Theoretic Comparison of Stochastic Graph Models: Some Experiments
The Modularity-Q measure of community structure is known to falsely ascribe community structure to random graphs, at least when it is naively applied. Although Q is motivated by a ...
Kevin J. Lang
STOC
2010
ACM
228views Algorithms» more  STOC 2010»
15 years 2 months ago
On the searchability of small-world networks with arbitrary underlying structure
Revisiting the “small-world” experiments of the ’60s, Kleinberg observed that individuals are very effective at constructing short chains of acquaintances between any two p...
Pierre Fraigniaud and George Giakkoupis
ETFA
2006
IEEE
15 years 3 months ago
Optimizing Quality of Control in Networked Automation Systems using Probabilistic Models
New technological trends lead to the increasing use of network technologies in automation. Especially the Ethernet with TCP/IP and wireless networks find growing acceptance. The r...
Jürgen Greifeneder, Georg Frey
AAAI
1997
14 years 11 months ago
Effective Bayesian Inference for Stochastic Programs
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
Daphne Koller, David A. McAllester, Avi Pfeffer
ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
15 years 2 months ago
Structure Search and Stability Enhancement of Bayesian Networks
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
Hanchuan Peng, Chris H. Q. Ding