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ICPR
2002
IEEE
14 years 8 months ago
Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovi...
TON
2008
87views more  TON 2008»
13 years 7 months ago
Large-scale network parameter configuration using an on-line simulation framework
As the Internet infrastructure grows to support a variety of services, its legacy protocols are being overloaded with new functions such as traffic engineering. Today, operators en...
Tao Ye, Hema Tahilramani Kaur, Shivkumar Kalyanara...
IAAI
2003
13 years 9 months ago
A Probabilistic Vehicle Diagnostic System Using Multiple Models
In addition to being accurate, it is important that diagnostic systems for use in automobiles also have low development and hardware costs. Model-based methods have shown promise ...
Matthew L. Schwall, J. Christian Gerdes, Bernard B...
SAC
2008
ACM
13 years 7 months ago
Bayesian inference for a discretely observed stochastic kinetic model
The ability to infer parameters of gene regulatory networks is emerging as a key problem in systems biology. The biochemical data are intrinsically stochastic and tend to be observ...
Richard J. Boys, Darren J. Wilkinson, Thomas B. L....
ALMOB
2006
113views more  ALMOB 2006»
13 years 7 months ago
Inverse bifurcation analysis: application to simple gene systems
Background: Bifurcation analysis has proven to be a powerful method for understanding the qualitative behavior of gene regulatory networks. In addition to the more traditional for...
James Lu, Heinz W. Engl, Peter Schuster