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ECAI
2010
Springer
13 years 7 months ago
The Necessity of Bounded Treewidth for Efficient Inference in Bayesian Networks
Abstract. Algorithms for probabilistic inference in Bayesian networks are known to have running times that are worst-case exponential in the size of the network. For networks with ...
Johan Kwisthout, Hans L. Bodlaender, Linda C. van ...
NN
1997
Springer
174views Neural Networks» more  NN 1997»
13 years 11 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
NN
2007
Springer
13 years 7 months ago
Robust Bayesian clustering
Cédric Archambeau, Michel Verleysen
ISWC
2003
IEEE
14 years 25 days ago
Sensing and Modeling Human Networks using the Sociometer
Knowledge of how people interact is important in many disciplines, e.g. organizational behavior, social network analysis, information diffusion and knowledge management applicatio...
Tanzeem Choudhury, Alex Pentland