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ICPR
2002
IEEE
16 years 3 months ago
Bayesian Networks as Ensemble of Classifiers
Classification of real-world data poses a number of challenging problems. Mismatch between classifier models and true data distributions on one hand and the use of approximate inf...
Ashutosh Garg, Vladimir Pavlovic, Thomas S. Huang
123
Voted
UAI
2003
15 years 4 months ago
Learning Continuous Time Bayesian Networks
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
Uri Nodelman, Christian R. Shelton, Daphne Koller
73
Voted
ICANN
2003
Springer
15 years 7 months ago
Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier
Kaizhu Huang, Irwin King, Michael R. Lyu
121
Voted
SAC
2008
ACM
15 years 2 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....
86
Voted
IJCNN
2007
IEEE
15 years 9 months ago
Mixture of nonlinear models: a Bayesian fit for Principal Curves
Pedro Delicado, Marcelo Smrekar