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» Transforming Time Series into Complex Networks
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IJAR
2010
75views more  IJAR 2010»
13 years 5 months ago
Generalized loopy 2U: A new algorithm for approximate inference in credal networks
Credal nets generalize Bayesian nets by relaxing the requirement of precision of probabilities. Credal nets are considerably more expressive than Bayesian nets, but this makes bel...
Alessandro Antonucci, Yi Sun, Cassio P. de Campos,...
DATAMINE
2008
219views more  DATAMINE 2008»
13 years 6 months ago
Correlating burst events on streaming stock market data
Abstract We address the problem of monitoring and identification of correlated burst patterns in multi-stream time series databases. We follow a two-step methodology: first we iden...
Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Phil...
GD
2005
Springer
14 years 7 days ago
Drawing Clustered Graphs in Three Dimensions
Clustered graph is a very useful model for drawing large and complex networks. This paper presents a new method for drawing clustered graphs in three dimensions. The method uses a ...
Joshua Wing Kei Ho, Seok-Hee Hong
HICSS
2008
IEEE
105views Biometrics» more  HICSS 2008»
13 years 6 months ago
Evaluating the Effect of Upgrade, Control and Development Strategies on Robustness and Failure Risk of the Power Transmission Gr
We use the OPA complex systems model of the power transmission system to investigate the effect of a series of different network upgrade scenarios on the long time dynamics and th...
David E. Newman, Benjamin A. Carreras, Vickie E. L...
BMCBI
2006
175views more  BMCBI 2006»
13 years 6 months ago
Parameter estimation for stiff equations of biosystems using radial basis function networks
Background: The modeling of dynamic systems requires estimating kinetic parameters from experimentally measured time-courses. Conventional global optimization methods used for par...
Yoshiya Matsubara, Shinichi Kikuchi, Masahiro Sugi...