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KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 4 months ago
A bayesian mixture model with linear regression mixing proportions
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gu...
IWSAS
2001
Springer
15 years 8 months ago
Model-Based Diagnosis for Information Survivability
The Infrastructure of modern society is controlled by software systems that are vulnerable to attack. Successful attacks on these systems can lead to catastrophic results; the sur...
Howard E. Shrobe
WSC
2007
15 years 6 months ago
Modeling and simulation of group behavior in e-government implementation
This study proposes a multi-agent modeling and simulation approach using EGGBM (E-Government Group Behavior Model) to research complex group behavior in Egovernment implementation...
Jiang Wu, Bin Hu
CSDA
2007
108views more  CSDA 2007»
15 years 4 months ago
Nonlinear random effects mixture models: Maximum likelihood estimation via the EM algorithm
Nonlinear random effects models with finite mixture structures are used to identify polymorphism in pharmacokinetic/ pharmacodynamic (PK/PD) phenotypes. An EM algorithm for maxim...
Xiaoning Wang, Alan Schumitzky, David Z. D'Argenio
NETGAMES
2006
ACM
15 years 10 months ago
A practical pricing model of inter-domain multicasting based on game theory
— A practical pricing mechanism is the foundation for the deploying of IP multicast in the inter-domain Internet. The IP multicast service model and its pricing mechanism are dis...
Jinjing Zhao, Peidong Zhu, Xicheng Lu, Feng Zhao