Discovering Structure in Continuous Variables Using Bayesian Networks (1995)

by Reimar Hofmann , Volker Tresp
Venue:Advances in Neural Information Processing Systems 8
Citations:21 - 1 self

Active Bibliography

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10 The Use of Exogenous Knowledge to Learn Bayesian Networks from Incomplete Databases – Marco Ramoni, Marco Ramoni, Paola Sebastiani, Paola Sebastiani - 1996
8 Graphical Models of the Visual Cortex – Thomas Dean
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25 Learning mixtures of DAG models – Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman - 1997
36 Learning Probabilistic Networks – Paul J Krause - 1998
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17 Efficient markov network structure discovery using independence tests – Facundo Bromberg, Dimitris Margaritis, Vasant Honavar - 2006
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172 A Guide to the Literature on Learning Probabilistic Networks From Data – Wray Buntine - 1996
64 Discretizing Continuous Attributes While Learning Bayesian Networks – Nir Friedman, Moises Goldszmidt - 1996
93 Learning Bayesian Networks from Data: An Information-Theory Based Approach – Jie Cheng, Russell Greiner, Jonathan Kelly, David Bell, Weiru Liu
8 Automated Decomposition of Model-based Learning Problems – Brian Williams, Bill Millar - 1996