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IDA
2003
Springer
13 years 10 months ago
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
Allan Tucker, Xiaohui Liu
AUSAI
2005
Springer
13 years 11 months ago
Conditioning Graphs: Practical Structures for Inference in Bayesian Networks
Abstract. Programmers employing inference in Bayesian networks typically rely on the inclusion of the model as well as an inference engine into their application. Sophisticated inf...
Kevin Grant, Michael C. Horsch
CIDM
2009
IEEE
14 years 6 days ago
A new hybrid method for Bayesian network learning With dependency constraints
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
Oliver Schulte, Gustavo Frigo, Russell Greiner, We...
AP2PC
2003
Springer
13 years 10 months ago
Bayesian Network Trust Model in Peer-to-Peer Networks
Abstract. In this paper, we propose a Bayesian network-based trust model in peerto-peer networks. Since trust is multi-faceted, even in the same context, peers still need to develo...
Yao Wang, Julita Vassileva
STAIRS
2008
128views Education» more  STAIRS 2008»
13 years 6 months ago
Towards Social Dynamic Dependence Networks for Institutions
Social networks are structures that aim to represent the relationships among the actors of a society. In the multiagent model, these networks depict the dependencies among the agen...
Serena Villata